Database Architect –RegTech-as-a-Service Product

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• As Database Architect you will own the logical and physical database architecture for the RegTech as a Service product
• You will design the canonical data model operational and analytical stores metadata repositories audit and lineage structures and data access patterns required across product modules
• You will work closely with product leadership regulatory SMEs solution architects data engineers backend developers AI ML engineers security DevOps and QA teams to deliver a database foundation that is performant reliable secure explainable and configurable across reports regulations and client deployments

Key Responsibilities:

• Define the end to end database architecture technology choices and design standards for operational analytical metadata audit evidence and AI ready data stores
• Design a reusable report agnostic canonical data model covering regulatory entities customers accounts transactions balances MDRMs schedules controls exceptions approvals and lineage
• Create logical and physical data models schemas keys relationships indexing partitioning retention and archival strategies for high volume regulatory and financial crime workloads
• Architect multi tenant data isolation role based access encryption masking audit logging and jurisdiction aware data residency controls aligned with Secure by Design and Privacy by Design principles
• Define ingestion change data capture API and batch data access patterns for integrating core banking general ledger reporting platforms CRM payment sanctions and external regulatory data sources
• Establish database performance engineering practices including query optimization capacity planning workload management observability backup recovery high availability and disaster recovery
• Design metadata driven configuration for report mappings validation rules thresholds regulatory changes schedule dependencies and source to report lineage
• Lead database design reviews migration planning data quality controls proof of concepts and production readiness assessments while mentoring engineers and maintaining architecture documentation

Technical Requirements:

• Minimum 7 years of experience in database architecture data architecture data engineering or enterprise scale data platform delivery including at least 6 years in an architect or technical leadership role
• Strong hands on expertise in relational database design and advanced SQL preferably PostgreSQL Microsoft SQL Server Oracle or equivalent enterprise RDBMS platforms
• Proven experience designing canonical models normalized and dimensional schemas metadata driven solutions audit stores temporal data and high volume transactional systems
• Strong knowledge of indexing partitioning query optimization concurrency data lifecycle management backup and recovery high availability and disaster recovery
• Experience designing secure cloud database solutions on Azure AWS or GCP including identity encryption secrets network isolation monitoring and cost controls
• Strong understanding of data governance lineage data quality privacy access control PII handling and regulatory grade auditability
• Ability to convert business and regulatory requirements into practical database designs and collaborate effectively with architecture engineering security and functional teams

Additional Responsibilities:

• Experience in banking regulatory reporting AML KYC transaction monitoring risk compliance finance or other data intensive regulated platforms
• Exposure to Azure SQL Azure Database for PostgreSQL Cosmos DB Databricks Snowflake BigQuery cloud data lakes or lakehouse architectures
• Working knowledge of NoSQL graph and vector technologies such as Cosmos DB MongoDB Neo4j pgvector Pinecone Weaviate or Milvus with judgment on when each is appropriate
• Experience with Python PySpark dbt Airflow Kafka schema registries data catalogues CDC tools and automated database deployment using CI CD and infrastructure as code
• Familiarity with MDRM driven regulatory data XBRL XML outputs source to report reconciliation controls evidence AI RAG retrieval patterns and human review workflows

Preferred Skills: