Data Architect - Banking

Singaporeonsite

Posted 2w ago · via Workable

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About this role

We are looking for a Data Architect with 10+ years in data, including 4+ years in banking and a hands-on data engineering background. Must-have skills Banking and domain • Data platform design inside tier-1 or large regional banks. • Banking data models (Teradata FSLDM or equivalent) across customer, account, payments and AML/CFT subject areas. • Financial crime or regulatory data marts built to BCBS 239 standards for lineage, reconciliation and audit. Data architecture • Enterprise data warehouse, data lake and Lakehouse architecture; Data Mesh and Data Fabric concepts. • Data modelling: dimensional, 3NF and Data Vault; semantic layers and data products. • Historical data design: snapshots, SCD Type 2, bi-temporal models and large multi-grain backfills.…

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What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

Skills match

For this role: python, r, sql, snowflake, databricks…

Level fit

We check your title trajectory against the seniority signal of the role.

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

Location fit

This role is based in Singapore. We weight your proximity and willingness to relocate.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonrsqlsnowflakedatabricksazuregoogle cloudkubernetesvaultsparkhivekafkaairflowpower bi

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