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Data Architect - Banking
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Salary
≈ $56k – $135k per year (Estimated)
Location
In office (Singapore)
Seniority
Architect
Employment
Contractor
Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Sep 25, 2026. Unison Group scores B on the Alion truth index.
Overview
Company
Impact
Profile match
Unison Group is a global technology consulting firm that accelerates digital transformation for enterprises through advanced cloud, data analytics, and artificial intelligence solutions. Headquartered in Singapore, the company specializes in risk management, regulatory compliance, and modernization strategies primarily for the financial and banking sector. By combining deep domain expertise with agile implementation frameworks, it empowers organizations worldwide to build secure, scalable, and future-ready digital architectures.
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
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