193 Data Solutions jobs in the Philippines

Do you want to take the first step in making Filipinos' lives better everyday? Here in GCash we want to stay at the forefront of the FinTech industry by creating innovative, meaningful, and convenient financial solutions for the nation G ka ba? Join the G Nation today

You will be responsible for the following:

Does (The tasks / responsibilities that the role performs to address requirements in Key Result Areas)

• Design and build dimensional data models in accordance to industry standards and best practices
• Work closely with stakeholders to gather and understand requirements
• Translate business requirements into data solutions and specification
• Collaborate with delivery teams (data engineering, reports and dashboard developers) to ensure data is accurately processed and loaded
• Create and maintain comprehensive documentation (entity relationship diagram, mappings, data dictionary, etc.)
• Implement data quality checks and validation processes
• Perform periodic analysis of query and reports performance, and recommend optimization solutions
• Ensure data models support fast query execution, even with complex joins or large datasets
• Provide technical guidance and mentorship to junior members of the team
• Build complex queries on large volumes of data using SQL
• Create and update documentation, and help maintain the team document portal
• Standardize different queries and optimize them to speed up query times
• Ensure data security practices in the deployed pipelines
• Identify automation opportunities and implement automation projects
• Maintain uptime for different automation tasks

Displays (The Knowledge, Skills, and Behaviors indicating how tasks / responsibilities will be performed )

• Strong understanding of dimensional data modeling concepts, data warehousing principles and architectures
• Possesses technical, analytical, and soft skills to allow the design of efficient and scalable data models, reports and dashboards
• Deep understanding of SQL for querying, reporting, and optimizing performance
• Familiarity with traditional and modern cloud-based databases
• Comprehension to understand and convert business questions and reporting needs into efficient data solutions
• Appetite to stay updated with with evolving data practices, tools, and technologies indata modeling and warehousing
• Willingness to work with different stakeholders across the organization
• Ability to work closely with data architects, data engineers, and developers to identify data related problems and solutions
• Leadership skills to help establish the team's ways-of-working, processes, deliverables, and documentation
• Strong collaboration skills
• Agile mindset with 'fail fast, learn fast' attitude
• Detail-oriented to verify the integrity of gathered data and reports
• Experience in analytics and data warehousing concepts, terminologies, and architecture
• Good oral and presentation skills are a must
• Coordinates and supports the Data Engineering team on the updates of the data sources

Delivers (The specific outputs / tangible results produced by the role; resources responsible for )

• Dimensional data models
• Entity relationship diagram
• Data dictionary and metadata documentation
• Data mapping documents
• Performance tuning artifacts
• ETL specifications
• Prototypes and sample reports
• Validation and test scenarios
• Data change management documentation
• Governance and security artifacts

We are looking for:

• Experience working with SQL (Oracle, Sybase, etc.) and cloud-based (Google BigQuery, Alibaba Cloud, etc.) databases required
• Experience in Google Looker Studio, Google Sheets, Excel required
• Experience in Google Suite (GSheet, GDocs, etc.) required
• Experience in diagramming tools (ERWin, Lucid, etc.) required
• Experience in JIRA and Confluence preferred

We are seeking a
Data Solutions Architect
to design and lead the implementation of our enterprise-wide data platforms and integration frameworks. In this role, you will define how data flows across our systems, ensuring interoperability between tools and enabling a scalable, secure, and modern data platform.

You are an expert in cloud-native data platforms, integration patterns, APIs, and real-time data streaming. You have a proven ability to balance complex technical design with core business needs.

Key Responsibilities

Platform Architecture

• Define and evolve
  the enterprise data platform architecture, including data lakehouses, data meshes, and hybrid cloud solutions.
• Architect
  core data components, from ingestion and processing to storage and APIs.
• Ensure
  our data platforms (e.g., Databricks, Snowflake, Confluent, Atlan) are fully integrated, functioning as a unified ecosystem.
• Establish
  standards for scalability, resilience, and cost optimization in all platform designs.

Integration & Interoperability

• Design
  frameworks for connecting data across internal and external systems (e.g., ERP, POS, e-commerce, CRM, MarTech).
• Define
  patterns for batch, streaming, and API-driven integrations, ensuring consistency across brands and regions.
• Collaborate
  with application architects to ensure seamless cross-platform data exchange and orchestration.
• Drive
  the adoption of real-time event streaming for customer engagement and operational use cases.

Governance & Security

• Embed
  data security, privacy, and compliance (e.g., encryption, tokenization, access control) into all integrations.
• Partner
  with governance teams to enforce metadata management, data lineage, and auditability at the integration layer.

Collaboration & Delivery

• Work closely
  with data engineers, cloud engineers, and business teams to deliver integrated solutions.
• Provide architectural guidance
  on solution design, vendor onboarding, and platform scaling initiatives.
• Act
  as the subject matter expert on integration technologies, including Confluent, API gateways, and orchestration tools.
• Mentor
  teams on best practices for platform usage, API management, and event-driven architectures.

Innovation & Optimization

• Continuously assess
  emerging integration tools and cloud-native services to determine their value.
• Lead
  platform modernization initiatives to support AI/ML readiness, real-time personalization, and advanced analytics.
• Optimize
  compute and storage costs by recommending the right architectural patterns and workload placements.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.
• 5+ years of experience in data engineering, solutions architecture, or platform integration.
• Hands-on expertise with cloud platforms (AWS) and data platforms (Databricks, Snowflake, Kafka/Confluent, Delta Lake).
• Strong knowledge of integration patterns (ETL/ELT, CDC, APIs, streaming).
• Experience with data orchestration frameworks like Dagster, Airflow, or dbt.
• Proven experience designing secure and compliant architectures.
• Excellent communication and stakeholder management skills.

Preferred Skills

• Experience with multi-brand, multi-region platform rollouts.
• Familiarity with metadata management tools (Atlan, Collibra, Purview).
• Knowledge of event-driven design patterns and microservices integration.
• Background in QSR, retail, or financial services is a plus.

Do you want to take the first step in making Filipinos' lives better everyday? Here in GCash we want to stay at the forefront of the FinTech industry by creating innovative, meaningful, and convenient financial solutions for the nation G ka ba? Join the G Nation today

Roles And Responsibilities
Does (
The tasks / responsibilities that the role performs to address requirements in Key Result Areas)

• Design and build dimensional data models in accordance to industry standards and best practices
• Work closely with stakeholders to gather and understand requirements
• Translate business requirements into data solutions and specification
• Collaborate with delivery teams (data engineering, reports and dashboard developers) to ensure data is accurately processed and loaded
• Create and maintain comprehensive documentation (entity relationship diagram, mappings, data dictionary, etc.)
• Implement data quality checks and validation processes
• Perform periodic analysis of query and reports performance, and recommend optimization solutions
• Ensure data models support fast query execution, even with complex joins or large datasets
• Provide technical guidance and mentorship to junior members of the team
• Build complex queries on large volumes of data using SQL
• Create and update documentation, and help maintain the team document portal
• Standardize different queries and optimize them to speed up query times
• Ensure data security practices in the deployed pipelines
• Identify automation opportunities and implement automation projects
• Maintain uptime for different automation tasks

Displays (
The Knowledge, Skills, and Behaviors indicating how tasks / responsibilities will be performed
)

• Strong understanding of dimensional data modeling concepts, data warehousing principles and architectures
• Possesses technical, analytical, and soft skills to allow the design of efficient and scalable data models, reports and dashboards
• Deep understanding of SQL for querying, reporting, and optimizing performance
• Familiarity with traditional and modern cloud-based databases
• Comprehension to understand and convert business questions and reporting needs into efficient data solutions
• Appetite to stay updated with with evolving data practices, tools, and technologies indata modeling and warehousing
• Willingness to work with different stakeholders across the organization
• Ability to work closely with data architects, data engineers, and developers to identify data related problems and solutions
• Leadership skills to help establish the team's ways-of-working, processes, deliverables, and documentation
• Strong collaboration skills
• Agile mindset with 'fail fast, learn fast' attitude
• Detail-oriented to verify the integrity of gathered data and reports
• Experience in analytics and data warehousing concepts, terminologies, and architecture
• Good oral and presentation skills are a must
• Coordinates and supports the Data Engineering team on the updates of the data sources

Delivers (
The specific outputs / tangible results produced by the role; resources responsible for
)

• Dimensional data models
• Entity relationship diagram
• Data dictionary and metadata documentation
• Data mapping documents
• Performance tuning artifacts
• ETL specifications
• Prototypes and sample reports
• Validation and test scenarios
• Data change management documentation
• Governance and security artifacts

*QUALIFICATIONS
(Minimum requirements in terms of experience and background, skills and competencies for sourcing purposes)*

• Experience working with SQL (Oracle, Sybase, etc.) and cloud-based (Google BigQuery, Alibaba Cloud, etc.) databases required
• Experience in Google Looker Studio, Google Sheets, Excel required
• Experience in Google Suite (GSheet, GDocs, etc.) required
• Experience in diagramming tools (ERWin, Lucid, etc.) required
• Experience in JIRA and Confluence preferred

What We Offer
Opportunity for career growth and development in the #1 FinTech company in the country Working with a dynamic and highly collaborative team who want to change the game A company that values their people with highly competitive and flexible compensation and benefits package

Company Description

We are SGS – the world's leading testing, inspection and certification company. We are recognized as the global benchmark for quality and integrity. Our 93,000 employees operate a network of 2,600 offices and laboratories, working together to enable a better, safer and more interconnected world.

Job Description

Primary Responsibilities

• Responsible for managing vendor setup and overseeing the material ordering process within the system, up to the finalization of orders.

Specific Responsibilities

• At all times, complies with SGS Code of Integrity and Professional Conduct.
• Communicate effectively with internal stakeholders and external vendors or contractual partners, primarily through written correspondence, but also verbally when necessary
• Facilitate vendor setup through SharePoint and coordinate with vendors to secure all necessary information
• Procure office supplies, punch out items, and other non-listed materials and consumables as needed
• Maintain internal communication with the team based in Katowice
• Handle order processing, follow-ups, and routine procurement tasks.
• Provides reports documenting reviews and changes where required.
• Maintains the integrity of the contents of database necessary for credible statistical reports.
• Attends and participates in team and company meetings.
• Provides suggestions on process improvements.
• Reports to Management any breach of integrity, solicitation for, or offer of, an improper payment or advantage coming to his/her knowledge.
• Performs other duties as may be assigned by Operations Manager to achieve operations efficiency. Examples of other tasks are as follows: to supervise or Member of Special Projects or Work Group

• Complies with the Quality, Health and Safety, Environment and Energy (QHSEE) policies and collaborating objectives including, but not limited to:

• Demonstrates strong undertaking to SGS QHSEE policies, procedures and work instructions by participating in meetings, projects and events, completes required training, intervenes in unsafe situations, refuses unsafe work, and complies fully with all applicable laws and regulations related to HSEE

• Reacts appropriately and immediately to emergency situations and assists other staff members in maintaining readiness to behave to emergencies within the workplace
• Disposes or directs the disposal of waste generated as a part of daily work performed in a safe manner and in compliance with the disposal regulations and requirements, and in accordance with SGS Environmental Management System requirements
• Reports all incidents, including near misses and hazards, that may affect the achievement of QHSEE objectives in accordance with SGS Incident Reporting and Management requirements
• Efficiently uses all equipment, including safety equipment, and company owned property in the manner intended and reports any damaged / lost equipment to Line Supervisor
• Maintains a safe and tidy worksite according to the organization's 5S program and guidelines
• Maintains awareness of the safety and health related hazards and environmental aspects and proposes action plans to control the risks to Line Supervisor or QHSEE Coordinators
• Participates in incident investigations and risk assessments as deemed necessary by SGS management
• Fulfills the requirements needed in the success of the QHSEE Management System
• Recognizes the potential consequences of not following the established policies, procedures, and guidelines, including not fulfilling the organization's compliance obligations
• Performs other related duties as may be assigned either in upholding of departmental goals or for his/her personal or professional training, education or development as programmed by his/her Line Supervisor.
• May include any combination of duties as needed in a project.

Qualifications

Profile

• Must have at least a university and/or college degree
• A minimum of one-year experience in office or administrative functions, preferably with a focus on finance or human resources support is a plus
• Previous experience in SAP is preferred
• Experience using business systems such Oracle, iProcurement, and SharePoint is a plus
• Demonstrated commitment to data quality and operational excellence

Experience / Knowledge

• Background in commercial or administrative roles (e.g., office clerk, administrative assistant, etc.)
• Computer literate (familiar with MS Window applications).
• Must type at least 35 words per minute with an accuracy rate of at least 90%.
• Audit and proof-reading exposure preferred.
• Detail and results oriented.
• Able to coordinate and motivate.
• Able to build certainty, respect and confidentiality.
• Acts quickly and conclusively; able to make tough calls.
• Able to perform effectively in high-pressure environments
• Willing to work weekends, holidays, and mid-shift hours (2:00 PM – 11:00 PM), in alignment with the German holiday calendar.

Languages

• Must possess good oral and written communications skills
• Proficient in English at C1 level
• German language skills are an advantage

Additional Information

• Willing to be assigned in Alabang
• Hybrid Set up
• Can work on weekends and on rotation shift basis (Morning, Mid or Night Shift).
• Fresh Graduates are welcome to apply
• Follow Germany calendar holidays

Aon is in the business of better decisions

At Aon, we shape decisions for the better to protect and enrich the lives of people around the world.

As an organization, we are united through trust as one inclusive, diverse team, and we are passionate about helping our colleagues and clients succeed.

What the day will look like

• Review client compensation and survey input to identify questionable data
• Verify the accuracy and validity of submitted data by interfacing extensively with clients to resolve compensation and survey input issues
• Respond to client requests for compensation and survey data and interpretation
• Develop and maintain positive stakeholder relations through regular and proactive communications
• Recognize, understand, and translate client questions, comments, and requests into potential opportunities for supplemental report sales or consulting assignments
• Conduct client training webinars, as needed
• Assist in the production of compensation and survey reports and review, design, and modification of reports for client use
• Assist in recruitment and training of junior associates
• Assist in various ad-hoc projects

How this opportunity is different

We are looking for a dedicated individual to join us as an Associate Consultant – Data Solutions at Aon Philippines, offering you a real opportunity to further develop your capabilities. You will be involved in a variety of projects and clients playing a key role in helping to shape the future of their companies.

This role is focused on supporting external partners in the delivery of value to clients. Responsibilities will require you to think creatively to develop new and innovative strategies for clients by generating and presenting valuable and practical insights that are relevant to their needs and to the wider Aon business.

This is a great opportunity to become a fundamental member of a highly professional and diverse team. Aon is a global organization which strives to provide meaningful career paths for its employees. Come on board and reap the rewards.

Skills and experience that will lead to success

• Bachelor's degree or equivalent experience, preferably with a focus in Finance, Economics, Statistics or Mathematics. Other majors will also be considered.
• 1 – 4 years of human resources, research, data analysis, or other related industry experience; fresh graduates with strong academic background are also encouraged to apply
• Ability to work independently in a data operations role and to interact with various internal and external constituents.
• Must be a motivated self-starter who is well organized with the ability to multi-task and prioritize large volumes of data
• Organization skills, detail-oriented, ability to take direction, work independently, as well as support a team
• Proficient in Microsoft Office, Excel (macros a plus) and Word
• Processing spreadsheets, database management, and strong customer service skills
• Ability to synthesize and communicate large amounts of data into key findings and identify related business issues.
• Has an "eye for detail," while not losing focus of the bigger picture.
• Excellent written and oral communication skills

How we support our colleagues

In addition to our comprehensive benefits package, we encourage a diverse workforce. Plus, our agile, inclusive environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two "Global Wellbeing Days" each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions, but we also recognize that flexibility goes beyond just the place of work. and we are all for it. We call this Smart Working

Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued.

Aon values an innovative, diverse workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace.

Aon provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran, marital, domestic partner status, or other legally protected status.

We welcome applications from all and provide individuals with disabilities with reasonable adjustments to participate in the job application, interview process and to perform essential job functions once onboard. If you would like to learn more about the reasonable accommodations we provide, email

Associate Consultant – Data Solutions

Aon is in the business of better decisions

At Aon, we shape decisions for the better to protect and enrich the lives of people around the world.

As an organization, we are united through trust as one inclusive, diverse team, and we are passionate about helping our colleagues and clients succeed.

What the day will look like

• Review client compensation and survey input to identify questionable data
• Verify the accuracy and validity of submitted data by interfacing extensively with clients to resolve compensation and survey input issues
• Respond to client requests for compensation and survey data and interpretation
• Develop and maintain positive stakeholder relations through regular and proactive communications
• Recognize, understand, and translate client questions, comments, and requests into potential opportunities for supplemental report sales or consulting assignments
• Conduct client training webinars, as needed
• Assist in the production of compensation and survey reports and review, design, and modification of reports for client use
• Assist in recruitment and training of junior associates
• Assist in various ad-hoc projects

How this opportunity is different

We are looking for a dedicated individual to join us as an Associate Consultant – Data Solutions at Aon Philippines, offering you a real opportunity to further develop your capabilities. You will be involved in a variety of projects and clients playing a key role in helping to shape the future of their companies.

This role is focused on supporting external partners in the delivery of value to clients. Responsibilities will require you to think creatively to develop new and innovative strategies for clients by generating and presenting valuable and practical insights that are relevant to their needs and to the wider Aon business.

This is a great opportunity to become a fundamental member of a highly professional and diverse team. Aon is a global organization which strives to provide meaningful career paths for its employees. Come on board and reap the rewards.

Skills and experience that will lead to success

• Bachelor's degree or equivalent experience, preferably with a focus in Finance, Economics, Statistics or Mathematics. Other majors will also be considered.
• 1 – 4 years of human resources, research, data analysis, or other related industry experience; fresh graduates with strong academic background are also encouraged to apply
• Ability to work independently in a data operations role and to interact with various internal and external constituents.
• Must be a motivated self-starter who is well organized with the ability to multi-task and prioritize large volumes of data
• Organization skills, detail-oriented, ability to take direction, work independently, as well as support a team
• Proficient in Microsoft Office, Excel (macros a plus) and Word
• Processing spreadsheets, database management, and strong customer service skills
• Ability to synthesize and communicate large amounts of data into key findings and identify related business issues.
• Has an "eye for detail," while not losing focus of the bigger picture.
• Excellent written and oral communication skills

How we support our colleagues

In addition to our comprehensive benefits package, we encourage a diverse workforce. Plus, our agile, inclusive environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two "Global Wellbeing Days" each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions, but we also recognize that flexibility goes beyond just the place of work. and we are all for it. We call this Smart Working

Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued.

Aon values an innovative, diverse workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace.

Aon provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran, marital, domestic partner status, or other legally protected status.

We welcome applications from all and provide individuals with disabilities with reasonable adjustments to participate in the job application, interview process and to perform essential job functions once onboard. If you would like to learn more about the reasonable accommodations we provide, email

The Lead of Data Architecture in the banking sector will be responsible for developing and managing data architecture strategies and systems, focusing on the unique needs of financial services, including data security, regulatory compliance, and customer data management.

Key Responsibilities:

1. Banking-Specific Data Architecture Design and Management:

· Develop and maintain data architecture tailored to banking industry needs, including retail banking, transaction banking, investment banking, and risk management.

· Design robust database solutions for handling large volumes of financial transactions and customer data.

· Ensure compliance with financial regulations in all data initiatives.

1. Data Governance and Compliance:

· Implement data governance frameworks specifically designed for banking operations.

· Ensure data accuracy, integrity, and compliance with financial industry standards and regulations.

· Develop and enforce policies for data privacy, security, and ethical use.

· Implement and guide metadata management strategies as aligned with data strategy of the bank.

1. Leadership in Financial Data Management:

· Manage a team of data architects, data modelers, and data mappers specializing in financial systems.

· Drive the adoption of data warehousing, advanced data analytics, and business intelligence in banking operations.

· Promote a culture of data-driven decision-making within the organization.

1. Technology Integration and Innovation:

· Evaluate and implement banking-specific data management tools and software.

· Integrate emerging technologies like AI, machine learning, and blockchain into the data architecture.

· Oversee the transition to cloud-based data management solutions, ensuring security and regulatory compliance.

1. Project Management and Collaboration:

· Coordinate with IT, risk management, and financial departments to align data architecture with business goals.

· Oversee banking-specific data architecture projects, ensuring they meet industry standards and business objectives.

· Liaise with external stakeholders, including regulatory bodies and technology partners.

Qualifications:

· Advanced degree in Computer Science, Information Technology, Finance, or a related field.

· Extensive experience in data architecture within the banking or financial services industry.

· In-depth understanding of financial regulations affecting data management.

· Proven leadership experience in a banking technology environment.

Skills:

· Expertise in financial databases, data modeling, and ETL processes specific to banking.

· Proficiency in data security and compliance technologies.

· Knowledge of fintech innovations and their applications in data architecture.

· Strong strategic planning, communication, and stakeholder management skills.

· Familiarity with cloud services (AWS, Azure) tailored for financial services.

· Professional certifications relevant to data management and financial services.

Experience Levels

Data Architect

· 5 to 8 years of experience focusing on data warehousing in a financial setting.

· Strong understanding of risk management, financial reporting, and transaction processing systems.

Senior Data Architect

· More than 8 years of experience with extensive knowledge in managing comprehensive data architectures in the banking and finance industry.

· Demonstrated leadership in driving major data initiatives and mentoring team members.

Job brief

We are seeking a visionary
Head of
Data Architecture
for a global company building AI platforms from scratch to lead the design and execution of our enterprise-wide data backbone. This leader will unify data across CAD, Finance, Operations, and GTM functions, ensuring our organization has a trusted, scalable foundation for analytics, AI, and business decision-making.

Responsibilities

• Design, implement, and own the enterprise-wide data architecture that connects critical business domains (CAD, Finance, Operations, GTM).
• Lead the development and maintenance of data models, pipelines, lineage, quality frameworks, adnd governance standards.
• Ensure the delivery of reliable, well-documented datasets to enable AI, ML, and advanced analytics use cases.
• Establish and enforce best practices for data management, scalability, and cloud-native architectures.
• Collaborate with cross-functional stakeholders to translate business needs into data solutions.
• Build, lead, and mentor a high-performing team of data engineers and architects.

Requirements

• Proven track record of designing and scaling enterprise-level, cloud-native data platforms beyond reporting and BI.
• Hands-on expertise with Snowflake or BigQuery, along with modern orchestration and transformation tools (e.g., dbt, Airflow) in AWS, GCP, or Azure environments.
• Demonstrated impact through enabling AI/ML and advanced analytics initiatives
• Strong leadership presence: ability to recruit, develop, and inspire data engineering talent.
• Excellent communication and collaboration skills, with experience working across executive, technical, and operational teams.

We are seeking a visionary Head of  Data Architecture  for a global company building AI platforms from scratch to lead the design and execution of our enterprise-wide data backbone. This leader will unify data across CAD, Finance, Operations, and GTM functions, ensuring our organization has a trusted, scalable foundation for analytics, AI, and business decision-making. 

• Design, implement, and own the enterprise-wide data architecture that connects critical business domains (CAD, Finance, Operations, GTM).
•  Lead the development and maintenance of data models, pipelines, lineage, quality frameworks, adnd governance standards.
• Ensure the delivery of reliable, well-documented datasets to enable AI, ML, and advanced analytics use cases.
• Establish and enforce best practices for data management, scalability, and cloud-native architectures.
• Collaborate with cross-functional stakeholders to translate business needs into data solutions.
• Build, lead, and mentor a high-performing team of data engineers and architects.

• Proven track record of designing and scaling enterprise-level, cloud-native data platforms beyond reporting and BI.
• Hands-on expertise with Snowflake or BigQuery , along with modern orchestration and transformation tools (e.g., dbt, Airflow ) in AWS, GCP, or Azure environments.
• Demonstrated impact through enabling AI/ML and advanced analytics initiatives
• Strong leadership presence: ability to recruit, develop, and inspire data engineering talent.
• Excellent communication and collaboration skills, with experience working across executive, technical, and operational teams.