Data Architect - Banking

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