Data Architect - Banking

Unison Group; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Unison Group in Singapore is seeking a Data Architect with 10+ years of data experience, including 4+ years in banking, plus hands-on data engineering background. You will design data platforms, model banking data across customer, account, payments and AML, and lead architecture initiatives.

You will drive enterprise data platform strategy, ensure regulatory alignment, and collaborate with cross-functional teams to deliver scalable data products and services using modern data fabrics and

Qualifications

• 10+ years in data roles with architecture focus.
• Hands-on data engineering background including ELT/ETL.
• Banking domain experience is required (customer, accounts, payments, AML).
• Experience designing enterprise data platforms, data meshes/fabrics, and data products.

Responsibilities

• Lead design authority forums and review engineers’ designs and code.
• Write design specifications that pass architecture, audit and regulatory review.

Skills

Data modeling

Architecture design

Stakeholder management

Regulatory compliance

Data governance

Education

TOGAF Certification

Teradata Vantage

Cloudera CDH

DAMA CDMP

Databricks

Tools

Spark

Python

SQL

Hadoop

Kafka

Snowflake

Denodo

Kubernetes

Airflow

Trino

Job description

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.
• Data-as-a-service patterns across batch and API delivery, with lineage, observability and SLA monitoring.
• Metadata, business glossary, lineage and data quality frameworks.

Data engineering (hands-on)

• ETL/ELT development, CDC, historical data processing, metadata-driven automation frameworks and performance optimisation.
• Teradata and Hadoop/Cloudera at scale: warehouses of 100 TB+ and tables of billions of rows.
• Spark, Python, R, SQL, Hive, Impala, HBase, Pig and Hue; Apache Iceberg and Trino.
• Streaming and integration: Kafka, Spark Streaming, Informatica (including IDL) and Talend.
• Databases and data federation: advanced SQL, NoSQL, Denodo and Snowflake.
• Cloud and DevOps: Kubernetes, Airflow, GitOps and CI/CD tools.

Delivery and communication

• Running design authority forums and reviewing engineers’ designs and code.
• Writing design specifications that pass architecture, audit and regulatory review.

Good-to-have skills

• Databricks, Snowflake and Lakehouse platforms; data services on Azure, Google Cloud, Huawei Cloud or Alibaba Cloud.
• BI and analytics platforms: Qlik Sense, Microsoft Power BI and Azure analytics services.

Certifications (preferred):

TOGAF; Teradata Vantage; Cloudera; DAMA CDMP; Databricks or cloud architect