Data Architect Lead at EastWest Bank

Makati, Metro Manila, Philippines -

Full Time

Start Date

Immediate

Expiry Date

27 Sep, 26

Salary

0.0

Posted On

29 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, Data Modeling, Databricks Lakehouse, SQL, dbt, Dimensional Modeling, Relational Modeling, ELT Pipelines, Data Mesh, Data Fabric, Metadata Management, Data Quality, Strategic Thinking, Leadership, Solution Design, Enterprise Data Marts

Industry

Banking

Description

About the Job Location: Taguig Corporate Title: Junior Officer to Senior Manager Work Arrangement: Hybrid Our Enterprise Data Office team is looking for experienced professionals to join us in Taguig with the role of Data Architect Lead. In this role you will design, build, and maintain enterprise-scale data architectures and models that ensure scalability, interoperability, and compliance across the Banks data ecosystem. You will provide solution design leadership, establish modeling standards, and develop enterprise data marts to enable downstream data products and strategic analytics initiatives. Your dream. Our focus. East West Banking Corporation (EastWest) is one of the largest universal banks in the Philippines, and is committed to continuously invest in people and in process, product, and service enhancements, and embrace new ideas to enhance the EastWest experience. We empower our employees to drive their careers and are committed to provide the runway for them to grow. We value teamwork and individual initiative. Join us and be part of a highly engaged team, and a workplace that promotes development and goal attainment. Whether you're just starting out, or already a seasoned professional, EastWest can help you unleash your potential, and bridge the gap between dream to success. What the role will entail Design and develop enterprise data marts in the Silver (Conformed) layer, ensuring subject-area alignment, reusability, and readiness for downstream Data Products. Create and maintain data models (conceptual, logical, and physical) that adhere to enterprise standards and regulatory definitions. Enable seamless integration and interoperability across Bronze, Silver, and Gold layers by collaborating with ELT, Analytics Engineers, and IT using Databricks and dbt. Apply architecture governance through consistent patterns, naming standards, and metadata capture to ensure enterprise-wide data consistency. Optimize performance and scalability by tuning Databricks SQL queries, data structures, and pipelines for efficiency and cost-effectiveness. What we're looking for Bachelor's Degree in either Computer Science, Information Technology, Data Science, Engineering, or related fields; postgraduate study preferred. Professional credentials such as CDMP, Databricks Data Engineer, or dbt Fundamentals/Advanced Certification are an advantage. Minimum 10+ years (Lead) in data architecture, engineering, or modeling; leadership experience required Expertise in Databricks Lakehouse, SQL, dbt, dimensional/relational modeling (3NF, Star, Snowflake), metadata, lineage, data quality, and modern architectures (Data Mesh/Fabric, ELT pipelines). Progressive proficiency in communication, collaboration, customer focus, critical thinking, responsibility, and results orientation; advanced strategic thinking, problem-solving, innovation, and ability to build and sustain high-performing teams and culture at senior/lead levels. What you can expect from joining our team Career development and training opportunities Competitive salary package and benefits Performance-based incentives and recognition programs to reward high-performing individuals Opportunity to work with industry experts and be mentored by them Defined career progression paths to guide you in your professional growth

Responsibilities

Design and maintain enterprise-scale data architectures and models to ensure scalability and compliance across the bank's ecosystem. Lead the development of enterprise data marts and establish modeling standards to enable strategic analytics and data products.