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Enterprise Data Platform Architect – Master Data & Lakehouse Transformation (Banking, APAC)

Open 33d

Summary

Designs and migrates enterprise-scale data platforms for a banking group, replacing legacy master data systems with a modern Databricks-based lakehouse across APAC markets.

Singapore | Regional Architecture Ownership | Data Platforms, Cloud, MDM, Lakehouse

I am looking for a Enterprise Data Platform Architect to lead the design, migration, and governance of next‑generation data platforms across APAC. This role is focused on platform architecture — building the foundational data, cloud, integration, and governance capabilities that power analytics, AI, and enterprise applications.

You’ll drive the migration of legacy master data systems into a modern Databricks‑based lakehouse, shaping enterprise data strategy and influencing senior technology leadership across multiple markets.

What You Will Lead:

- Enterprise‑scale master data migration from legacy banking platforms into a modern lakehouse (Databricks, Delta Lake).

- End‑to‑end platform architecture across ingestion, pipelines, modelling, lineage, governance, and quality.

- Build and operationalise data lakehouse platforms (Delta Lake, Iceberg, Hudi) and cloud‑native data services.

- Define data platform blueprints, standards, and reference architectures across business and technology domains.

- Regional architecture delivery across Thailand, Korea, Japan, Myanmar, India, Philippines.

Why This Role Stands Out:

- APAC‑wide platform ownership with strategic influence across multiple markets.

- Combination of greenfield platform build, cloud transformation, and enterprise‑grade governance.

- High visibility with C‑suite, CTO, CIO, and cross‑functional technology leaders.

- Opportunity to define long‑term data platform strategy, MDM architecture, and lakehouse adoption for a major bank.

What You Bring:

- 10+ years in data platform architecture / data engineering within BFSI or large‑scale enterprise environments.

- Proven experience migrating master data from legacy banking systems to modern platforms.

- Deep knowledge of lakehouse architectures, distributed data design, and modern data platform patterns.

- Hands‑on cloud experience (AWS preferred, Azure or GCP also welcome).

- "Ideally but not essential" strong Databricks capability — Delta Lake, Unity Catalog, governance, pipelines, ML.

- Broad enterprise architecture skills across API integration, application architecture, cloud services, and data pipelines.

- Excellent communication and stakeholder influence skills.

Nice to Have:

- Experience in Corporate / Wholesale Banking data domains.

- TOGAF or equivalent Enterprise Architecture certification.


Adam Davies

Partner

Technology 'recruitment & search'

Menrva Group

Registered Agent R1326604

Company EA License 19S9808

Company Registration 201900823K
MENRVA PTE. LTD.

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