Data Architect - Banking
LocationSingapore, Singapore, Singapore
Typecontract
SenioritySenior
Experience10+ yrs
DepartmentManish
Company size1,001–5,000 people
PostedSep 25, 2026 · 2w ago
Verified live18h ago
At a glanceSummarised by Seekless from the posting.
10+ years in data
4+ years in banking
Hands-on data engineering background
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
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
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
Running design authority forums and reviewing engineers’ designs and code
Writing design specifications that pass architecture, audit and regulatory review
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
TOGAF certification
Teradata Vantage certification
Cloudera certification
DAMA CDMP certification
Databricks or cloud architect certification
Skills
Teradata
Hadoop
Cloudera
Spark
Python
R
SQL
Hive
Impala
HBase
Pig
Hue
Apache Iceberg
Trino
Kafka
Spark Streaming
Informatica
Talend
Denodo
Snowflake
Kubernetes
Airflow
Git
CI/CD
Databricks
Azure
Google Cloud
Huawei Cloud
Alibaba Cloud
Qlik Sense
Microsoft Power BI
Azure analytics services
About the 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.
• 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