209 Data Solutions jobs in the Philippines
Data Solutions Architect
Posted today
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Job Description
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.
Data Solutions Manager
Posted today
Job Viewed
Job Description
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
Data Solutions Associate
Posted today
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Job Description
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
Data Solutions Manager
Posted today
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Job Description
As a Data Solutions Manager, you will be responsible for collecting, analyzing, and interpreting
large datasets to provide actionable insights and support data-driven decision-making within
the organization. Your role involves employing statistical methods, data visualization
techniques, and programming skills to extract meaningful patterns and trends from various
sources of data.
You are brilliant with data, reports and can handle multiple deadlines simultaneously. You are
motivated to go above and beyond for clients, and have a strong understanding of the AdTech
landscape with expertise in video and social platforms. You build collaborative relationships
with Sales and Campaign Management teams, and capitalize on the knowledge sharing
amongst the global CSM cohort to ensure we uphold best practice client servicing standards.
Core Responsibilities
- Data Licensing Support:
○ Put together and deliver Youtube channel lists based on specific guidelines and
parameters.
○ Perform quality audits on YT channel data and lists.
○ Works closely with and supports the Product Manager for any tasks as needed.
- Content Strategy Analysis Support:
○ Perform quality audits on YT channel data and lists.
○ Manage several projects at the same time, delivering results in a timely manner.
○ Provide insights and/or recommendations as needed to help improve the content
review process and tool.
○ Works closely with and supports the Product Manager for any tasks as needed.
Qualifications
Experience required:
- A Bachelor degree in any field you & passionate about.
- At least 1-2 years of experience in an analyst, quality control, or project management
role
- Strong Google Sheets or MS Excel fundamentals.
- Fluency in English.
- Outstanding analytical skills
- Ability to detect patterns, data inconsistencies, etc.
- Strong attention to detail
- Ability to thoroughly and accurately complete tasks/projects in a timely manner.
- Able to multitask and prioritize.
- Technology focused mindset - ability to pick up and learn new technology as needed.
Dependable - ability to work independently to complete a set of assigned tasks in a
timely manner.
Must have skills
- data analyst
- content strategy
- campaign management
- data visualization
Data Solutions Manager
Posted today
Job Viewed
Job Description
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
Data Architecture Head
Posted today
Job Viewed
Job Description
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.
Data Architecture Head
Posted 25 days ago
Job Viewed
Job Description
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.
- 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.
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Director of Data Architecture
Posted today
Job Viewed
Job Description
We are seeking an experienced and strategic Director of Data Architecture to lead the design and implementation of an enterprise-wide data backbone that seamlessly integrates data across CAD, finance, operations, and go-to-market functions. This role will be responsible for building and maintaining robust, scalable data infrastructure that supports our business intelligence, analytics, and AI capabilities.
KEY RESPONSIBILITIES
- Design and implement enterprise‑wide data backbone that unifies CAD, finance, ops, and GTM data.
- Own data models, pipelines, quality, lineage, and governance.
- Enable AI/analytics by delivering reliable, well‑documented datasets.
QUALIFICATIONS
- Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related field.
- 10+ years of experience in data architecture, data engineering, or related fields, with at least 5 years in leadership roles.
- Proven track record of designing and implementing enterprise-scale, cloud-native data platforms beyond traditional reporting.
Hands-on expertise with:
Cloud platforms: AWS, GCP, or Azure.
- Data warehousing: Snowflake, BigQuery, or similar.
Data pipeline/orchestration: dbt, Airflow, or equivalent.
Experience enabling AI/ML or advanced analytics use cases through robust data foundations.
- Strong background in data governance, quality, and security frameworks.
- Demonstrated ability to recruit, mentor, and lead data engineering teams.
- Excellent communication and collaboration skills, with ability to influence technical and business stakeholders.
Lead Consultant Data Architecture
Posted today
Job Viewed
Job Description
About the Position: Lead Consultant Data Architecture & Engineering (GDC) | Remote
Work Arrangement: Fully Remote
Schedule: Midshift
At least 5 years of relevant experience and at least 4 years of relevant leadership experience is needed.
Job Overview:
**Leadership Development** This role offers opportunities to enhance your technical leadership skills, including making technical decisions, mentoring junior team members, and building relationships with project, client, and company leadershipall while remaining actively involved in your technical domain.
**Technology Focus & Growth** Our primary focus is on Azure, providing numerous chances to develop your expertise within the Microsoft and Azure ecosystems in an environment dedicated to technical excellence and exceptional client experiences. Just six months with our team can equate to years of experience elsewhere.
**Partnerships & Opportunities** Our strong global partnership with Microsoft ensures access to innovative Azure projects and direct collaboration with the platforms creatorsan advantage not commonly found elsewhere.
**Compensation & Culture** We offer a competitive salary, allowances, standard benefits, and performance-based bonuses (quarterly and annually). Our company fosters a positive working environment and culture, with flexible options for remote work.
**Core Technical Skills Required:**
Proven experience leading small to medium technical teams, including task delegation, technical escalation, support, and representing the team in Agile ceremonies and client meetings
Expertise in designing and implementing logical and physical data models for cloud and hybrid data warehouse environments
Experience in developing data architectures supporting diverse data formats: structured, semi-structured, and unstructured data
Hands-on involvement in full lifecycle data warehouse projects
Knowledge of data architecture necessary for data integration processes
Proficiency with data modeling tools such as ER/Studio, ER/Win, or similar
Familiarity with Microsoft Azure Data Platform services like Azure Data Lake Storage, Azure Blob Storage, Azure Synapse, Azure Data Factory, Azure SQL Database, Logic Apps, and APIs
Demonstrated ability to quickly learn, adapt, and apply new technologies
Experience in data profiling and mapping source-to-target data transformations
Ability to provision and configure Azure data services
**Detailed Technical Skills:**
Python and SQL scripting
SQL and PySpark
General cloud architecture skillscapable of translating requirements into data pipeline solutions
API development knowledge; candidates with API creation skills are preferred
**Preferred Skills, Experience, & Certifications:**
Microsoft Fabric
Microsoft Azure Cosmos DB, Data Flows, ExpressRoute, Azure Active Directory
Experience designing migration strategies from on-premise environments to Azure
Power BI and semantic data modeling
AWS Glue and Azure Data Factory
AWS S3 and Azure Blob Storage
AWS Athena and Azure Databricks
AWS Redshift and Azure Synapse Analytics
AWS ECS and Azure AKS
Data Governance Solutions Lead
Posted 4 days ago
Job Viewed
Job Description
**Primary Responsibilities:**
+ Leverage and configure existing governance tools (Databricks Unity Catalog, cloud-native governance services, data cataloging platforms) to enforce policies
+ Develop custom governance solutions where relevant e.g. metadata extraction, tracking data lineage, access patterns, and high-usage datasets
+ Developing governance audit tools to measure compliance effectiveness
+ Automating data access control, policy enforcement, and quality monitoring
+ Embed governance solutions within data platforms/ ecosystem where relevant and integrate governance policies within ETL and data processing pipelines
+ Establish automated data quality monitoring and remediation using SQL, scripting, and emerging technologies
+ Explore and implement new tools and methodologies to enhance governance automation and efficiency
+ Partner with security and compliance teams to enforce data protection policies and regulatory requirements
+ Oversee enforcement of data governance policies in collaboration with key stakeholders
+ Collaborate with engineering, security, and analytics teams to integrate governance seamlessly into data pipelines
+ Continuously assess and enhance governance frameworks to improve efficiency and adaptability to new technologies
+ Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
**Required Qualifications:**
+ Bachelor's or Master's degree in Computer Science, Information Systems, or related field
+ 8+ years of experience in data governance, data management, or data engineering roles
+ Experience leveraging and configuring governance tools (e.g., Databricks Unity Catalog, Snowflake governance features, cloud-native governance services, metadata management platforms)
+ Experience embedding governance solutions within data platforms (e.g., Snowflake, Redshift, Databricks) and ETL processes
+ Experience designing and implementing scalable, federated governance models (e.g., data mesh, multi-cloud environments)
+ Familiarity with IAM, RBAC/ABAC policies, data security best practices, and compliance standards (e.g., HIPAA, SOC 2)
+ SQL and scripting proficiency (Python, Scala, or similar) to develop governance automation solutions
+ Proven ability to work cross-functionally with technical and business teams
+ Proven ability in translating governance requirements into scalable, technology-driven solutions
+ Proven solid communication skills to drive adoption of governance best practices
**Preferred Qualification:**
+ Proven exposure to AI/ML governance frameworks
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