Data Architect 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

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Modeling, Databricks Lakehouse, SQL, dbt, Dimensional Modeling, Relational Modeling, Metadata Management, Data Lineage, Data Quality Management, Cloud Systems, Enterprise Data Architecture, Data Mart Design

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. In this role you will design, build, and maintain enterprise-scale data architectures and models across the Banks data ecosystem, ensuring solutions are scalable, interoperable, and compliant with regulatory and strategic standards. Depending on level, you may lead architectural strategy and mentor the community, drive complex domain modeling, design and maintain data products, or support documentation and metadata while contributing to Enterprise Data Marts. 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, build, and maintain Conformed layer data marts optimized for subject-area alignment, reusability, and downstream Data Product consumption Develop conceptual, logical, and physical data models in line with enterprise standards and regulatory definitions Collaborate with ELT, Analytics Engineers, and IT teams to ensure seamless data flow across layers using Databricks and dbt Apply enterprise data architecture patterns, naming conventions, and metadata capture to ensure consistency and interoperability across domains Optimize Databricks SQL queries, data structures, and pipelines to enhance performance, scalability, and cost efficiency Support governance and adherence to best practices in data architecture and modeling Contribute to continuous improvement of enterprise data ecosystems through innovation and collaboration What we're looking for Bachelor's Degree in either Computer Science, Information Technology, Data Science, Engineering, or a related technical field Preferred certifications include CDMP, Databricks Data Engineer, dbt fundamentals/advanced, or equivalent industry credentials At least 4 to 6 years in data modeling and cloud systems Strong expertise in Databricks Lakehouse, SQL, and dbt; solid understanding of dimensional and relational modeling; familiarity with metadata, data lineage, and data quality management; knowledge of regulatory data handling and modern data architecture frameworks Demonstrated competencies in communication, collaboration, customer focus, critical thinking, responsibility, and results orientation, with leadership skills in strategic thinking, problem solving, innovation, and building high-performance teams 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, build, and maintain enterprise-scale data architectures and conformed layer data marts to ensure scalability and regulatory compliance. Collaborate with technical teams to optimize Databricks SQL queries and ensure seamless data flow across the bank's ecosystem.