Data Architect

Dynamic Talent Solutions; Taguig; Hybrid; PHP 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Health Insurance

HMO

13th Month Pay

Paid Holidays

Job summary

Dynamic Talent Solutions in Taguig is seeking a Data Architect to define and govern the enterprise data architecture, ensuring data platforms, models, governance standards, and analytics capabilities align with business objectives and technology strategy.

You will translate requirements into scalable, secure data solutions while guiding engineering teams and serving as a strategic partner across the organization to shape data structures, integrations, and analytics for decision-making.

Qualifications

• Extensive experience in data architecture, data modeling, and enterprise information management.
• Strong knowledge of Data Modeling (Conceptual, Logical, Physical).
• Experience designing enterprise-scale data solutions and long-term technology roadmaps.
• Familiarity with data warehousing, data lakes, and cloud data platforms.

Responsibilities

• Develop and maintain enterprise and solution-level data architecture roadmaps.
• Design conceptual, logical, and physical data models to support business processes, operational systems, and analytics needs.
• Define data integration patterns across applications, platforms, APIs, and external systems.
• Establish standards for master data, metadata, data quality, data lineage, and governance frameworks.
• Evaluate, select, and recommend technologies for data warehousing, data lakes, cloud data platforms, and analytics ecosystems.
• Collaborate with business stakeholders, product owners, architects, and engineering teams to translate requirements into scalable data solutions.
• Ensure alignment with enterprise architecture principles, security controls, and regulatory compliance.
• Assess architectural risks, dependencies, scalability, resiliency, and sustainability across data platforms.
• Support architecture reviews, technical governance processes, and modernization initiatives.
• Provide guidance, coaching, and mentoring to data engineers, developers, and analysts.

Skills

Data architecture

Data modeling

Enterprise data mgmt

Data governance

MDM

Security & compliance

BI & Analytics

ETL/ELT

Roadmap planning

Education

Bachelor's degree

Job description

Hybrid - Taguig 3-5 Yrs Exp Bachelor Contract

Job Description

The Data Architect defines and governs the enterprise data architecture, ensuring that data platforms, models, integrations, governance standards, and analytics capabilities align with business objectives and technology strategy. This role translates business and information requirements into scalable, secure, and reusable data solutions while guiding engineering teams throughout implementation. The Data Architect serves as a strategic partner across the organization, shaping how data is structured, integrated, governed, and leveraged for analytics and decision-making.

Government Mandated Benefits

13th Month Pay, Paid Holidays

Insurance Health & Wellness

Health Insurance, HMO

Key Responsibilities:

• Develop and maintain enterprise and solution-level data architecture roadmaps.
• Design conceptual, logical, and physical data models to support business processes, operational systems, and analytics needs.
• Define data integration patterns across applications, platforms, APIs, and external systems.
• Establish standards for master data, metadata, data quality, data lineage, and governance frameworks.
• Evaluate, select, and recommend technologies for data warehousing, data lakes, cloud data platforms, and analytics ecosystems.
• Collaborate with business stakeholders, product owners, architects, and engineering teams to translate requirements into scalable data solutions.
• Ensure alignment with enterprise architecture principles, security controls, and regulatory compliance.
• Assess architectural risks, dependencies, scalability, resiliency, and sustainability across data platforms.
• Support architecture reviews, technical governance processes, and modernization initiatives.
• Provide guidance, coaching, and mentoring to data engineers, developers, and analysts.

Required Experience:

• Extensive experience in data architecture, data modeling, and enterprise information management.
• Strong knowledge of:
• Data Modeling (Conceptual, Logical, Physical)
• Data Warehousing & Lakehouse Architectures
• Master Data Management (MDM)
• Data Governance & Data Quality
• Business Intelligence & Analytics
• Security, Privacy, and Compliance Controls
• Proven experience designing enterprise-scale data solutions and long-term technology roadmaps.

Technical Skills:

• Enterprise data architecture and modeling
• Database design, optimization, and performance tuning
• Data integration, ETL/ELT, and API-driven architecture
• Cloud and analytics platform architecture
• Information governance, metadata management, and security
• Architecture documentation, standards, and blueprinting