Enterprise​/Data Architect

Key Responsibilities

• Own and govern the end-to-end Data Lakehouse architecture
  , ensuring consistency across data ingestion, storage, processing, consumption, and governance layers.
• Define and validate the target state Medallion Architecture (Bronze, Silver, Gold) in alignment with BANK’s enterprise architecture principles.
• Ensure robust architectural patterns for batch, near real-time, and historical data processing.
• Ensure architectural consistency and seamless integration across:
• Cloudera Data Platform
• Teradata Enterprise Data Warehouse
• Review and approve low-level designs, data flows, and integration patterns across platforms.

• Perform architectural assessment and validation of Phase 1 deliverables
  , including:
• Logical and physical data models
• Gold layer aggregations (Teradata)
• Identify architectural gaps, anti-patterns, and misalignments.
• Define remediation and rebuild strategies aligned with BANK’s target architecture.
• Govern the implementation of logical and physical data models aligned to:
• FSLDM (Financial Services Logical Data Model)
• Ensure correctness, consistency, and reusability of enterprise and subject-area models.
• Validate aggregation logic, hierarchies, and reporting readiness.

• Ensure alignment with:
• NDMO (National Data Management Office)
• NDI (National Data Index)
• BANK data classification, privacy, and security standards
• Oversee metadata, lineage, data quality, and auditability design.
• Ensure architecture supports regulatory reporting, traceability, and reconciliation requirements.

• High availability (≥99.9% uptime)
• Disaster recovery and point-in-time restore
• Review and guide performance tuning strategies for ingestion, transformation, and reporting workloads.

• Act as the primary architectural interface with BANK IT, Data Governance, Security, and Business teams.
• Participate in architecture review boards, design walkthroughs, and governance forums.
• Clearly articulate architectural decisions, trade-offs, and impacts to senior stakeholders.

• Strong experience in Enterprise Data Architecture
  , including:
• EDW modernisation
• Data Lake / Lakehouse architectures
• Deep understanding of BFSI data domains and enterprise reference models:
• FSLDM
• FSAS
• Cloudera CDP (HDFS, Spark, Hive, Kafka)

• Metadata and lineage
• Data quality frameworks
• Security, masking, and encryption
• Strong understanding of regulatory and compliance-driven data platforms.

• Performance and workload optimization
• Scalability and capacity planning
• Resilience, backup, and recovery design

• Strong communication and stakeholder management skills.
• Ability to lead cross-vendor and cross-functional technical discussions.
• Governance mindset with pragmatic delivery orientation.

• 15+ years of experience in data architecture roles, preferably in large BFSI organizations.
• Proven track record of large-scale data platform transformation programs
  .
• Experience working in hybrid delivery models with onsite and offshore teams.
• Architecture certification(s) or advanced data engineering background preferred.

30
- July
-2026