We are seeking an experienced Senior Data Architect to lead our financial data strategy. This role is crucial in building robust and secure data lakes that support operational finance systems and strategic analytics. Key Responsibilities - Architect and maintain production data lakes for real-time transactional ingestion and processing. - Design reporting data lakes for BI, regulatory, and financial reporting workloads. - Build multi-zone lake structures incorporating schema evolution, data contracts, and role-based access control. - Model financial datasets using dimensional, normalized, and vault approaches. - Build and optimize real-time and batch pipelines with Google Cloud Platform (GCP) and Azure. - Enable unified analytics on structured data and unstructured content. Compliance, Governance & Risk Controls - Implement data access, retention, and classification policies that meet regulatory requirements. - Collaborate with infosec, legal, and audit teams to ensure auditability and lineage tracking across data flows. - Define controls for PII, financial data sensitivity, and third-party data sharing. Requirements - 8+ years in data architecture with significant experience in financial services, fintech, or banking environments. - Strong experience with GCP and Azure Data Lake / Synapse Analytics. - Deep understanding of financial data modeling, including ledgers, double-entry accounting, payment rails, and regulatory audit structures. - Experience with batch and streaming architectures, including handling of high-velocity financial transactions. - Proficient in SQL and at least one programming language (Python, Scala, or Java). What We Offer - A resilient, compliant, and scalable data foundation. - Efficient, observable data pipelines. - High trust in the reporting data lake from internal audit, compliance, and executive stakeholders. - A streamlined data access and provisioning process.