Lead Data Architect

Description Lead Data Architect The Lead Data Architect is responsible for defining and governing the enterprise data architecture strategy and standards for mission‑critical Financial Services platforms. This role combines deep technical expertise, architectural leadership, and regulatory understanding to deliver secure, scalable, and MAS‑compliant data ecosystems that power analytics, AI, and compliance across the enterprise. Key Responsibilities Define and maintain enterprise data architecture blueprints across Core Banking, Payments, Risk, and Compliance domains. Architect modern data platforms (data lakes, warehouses, data mesh/fabric) on cloud native platforms Azure, AWS, or GCP . Design real‑time streaming architectures leveraging Kafka, Flink, Debezium, and KSQL. Govern enterprise data models, metadata management, lineage tracking, and Master Data Management (MDM) frameworks. Establish data governance frameworks using Collibra, Purview, or Apache Atlas , integrated with automated data quality metrics. Define data zoning (bronze/silver/gold) and implement secure data separation aligned with MAS TRM, PDPA, and PCI‑DSS standards. Collaborate with AI and platform engineering teams to design AI‑ready architectures , including feature stores and vector databases. Lead data migration and modernization initiatives (on‑prem to cloud) ensuring full lineage, compliance, and traceability. Provide architectural oversight for regulatory data programs (MAS 610/649/1003, Basel III/IV, BCBS 239). Mentor data engineers and participate in architecture governance forums to ensure scalability, resilience, and compliance of data solutions. Experience & Qualifications Bachelor’s or Master’s degree in Computer Science, Information Systems , or a related discipline. 12+ years of experience in data architecture and engineering, with at least 5 years in the BFSI domain . Proven track record leading enterprise‑scale data modernization programs across multi‑cloud environments. Deep expertise in data modeling, governance, lineage , and metadata frameworks . Hands‑on experience with real‑time, event‑driven architectures and AI/ML data enablement . Strong understanding of financial services regulations (MAS TRM, PDPA, BCBS 239). Strong proficiency in Spark, Databricks, Kafka, Flink, or Beam for batch and streaming data processing. Hands‑on experience with metadata management and data catalog tools (Collibra, Purview, Apache Atlas). Deep understanding of data quality frameworks and implementation best practices. Strong Knowledge of data security, encryption, and key management techniques. Deep understanding with financial regulations such as MAS TRM, PDPA, Basel III/IV, IFRS 9/17, and BCBS 239. Proficiency in Python, SQL, and API integration. Excellent communication skills and ability to work across data, compliance, and infrastructure teams. Preferred Certifications: Azure Solutions Architect Expert AWS Data Analytics Specialty TOGAF Certified Architect Strong communication and stakeholder management skills across business and technology domains. Deep understanding of financial systems, data flows , and compliance frameworks . Ability to balance strategic architecture vision with hands‑on technical leadership . Demonstrated success in mentoring teams and driving data engineering excellence aligned to organizational objectives. Seniority level Mid‑Senior level Employment type Contract Job function Information Technology Industries IT Services and IT Consulting and Financial Services Referrals increase your chances of interviewing at PURVIEW by 2x #J-18808-Ljbffr Industry Other Category IT & Technology Sub Category Software Architecture & Engineering