Enterprise Data Architect
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Key skills for this role
About the Role
We are seeking an experienced Enterprise Data Architect to own and govern the end-to-end Data Lakehouse architecture, ensuring consistency across data ingestion, storage, processing, and governance.
Key Skills for This Role
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 enterprise architecture principles
- Ensure robust architectural patterns for batch, near real time, and historical data processing
- Ensure architectural consistency and seamless integration across Cloudera, Teradata, Informatica, and Denodo
- Review and approve low level designs, data flows, and integration patterns across platforms
- Perform architectural assessment and validation of Phase 1 deliverables including data pipelines, data models, and Gold layer aggregations
- Identify architectural gaps, anti patterns, and misalignments, and define remediation strategies
- Govern the implementation of logical and physical data models aligned to FSLDM and FSAS aggregation standards
- Ensure alignment with NDMO, NDI, data classification, privacy, and security standards
- Oversee metadata, lineage, data quality, and auditability design
- Define architecture patterns for high availability, horizontal scalability, and disaster recovery
- Act as the primary architectural interface with IT, Data Governance, Security, and Business teams
Requirements
- 15+ years of experience in data architecture roles, preferably in large BFSI organizations
- Strong experience in Enterprise Data Architecture including EDW modernization, Data Lake/Lakehouse architectures, and Medallion architecture patterns
- Deep understanding of BFSI data domains and enterprise reference models (FSLDM, FSAS)
- Hands on architectural exposure to Cloudera CDP, Teradata Vantage, Informatica, Kafka, and Denodo
- Proven experience designing governance driven architecture including metadata, lineage, data quality, security, masking, and encryption
- Expertise in performance optimization, scalability, capacity planning, resilience, backup, and recovery design
- Strong communication and stakeholder management skills
Full Job Posting
Architecture Ownership
- 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 enterprise architecture principles.
- Ensure robust architectural patterns for batch, near real time, and historical data processing.
Platform & Technology Alignment
- Ensure architectural consistency and seamless integration across: Cloudera Data Platform, Teradata Enterprise Data Warehouse, Informatica (ETL, Data Quality, Metadata), Denodo (Data Virtualization & Consumption).
- Review and approve low level designs, data flows, and integration patterns across platforms.
Phase 1 Remediation Governance
- Perform architectural assessment and validation of Phase 1 deliverables, including: Data pipelines, Logical and physical data models, Gold layer aggregations (Teradata).
- Identify architectural gaps, anti patterns, and misalignments.
- Define remediation and rebuild strategies aligned with target architecture.
Enterprise Data Modeling & Standards
- Govern the implementation of logical and physical data models aligned to: FSLDM (Financial Services Logical Data Model), FSAS aggregation standards.
- Ensure correctness, consistency, and reusability of enterprise and subject area models.
- Validate aggregation logic, hierarchies, and reporting readiness.
Governance, Compliance & Security
- Ensure alignment with: NDMO (National Data Management Office), NDI (National Data Index), data classification, privacy, and security standards.
- Oversee metadata, lineage, data quality, and auditability design.
- Ensure architecture supports regulatory reporting, traceability, and reconciliation requirements.
Performance, Scalability & Resilience
- Define architecture patterns for: High availability (≥99.9% uptime), Horizontal scalability, Disaster recovery and point in time restore.
- Review and guide performance tuning strategies for ingestion, transformation, and reporting workloads.
Stakeholder & Governance Engagement
- Act as the primary architectural interface with 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.
Required Skills & Experience
- Strong experience in Enterprise Data Architecture, including EDW modernisation, Data Lake / Lakehouse architectures, Medallion architecture patterns.
- Deep understanding of BFSI data domains and enterprise reference models: FSLDM, FSAS.
- Hands on architectural exposure to: Cloudera CDP (HDFS, Spark, Hive, Kafka), Teradata Vantage, Informatica (ETL) BDM, Informatica Power Exchange (CDC), Kafka, Denodo.
- Proven experience designing governance driven architecture: Metadata and lineage, Data quality frameworks, Security, masking, and encryption.
- Strong understanding of regulatory and compliance driven data platforms.
- Expertise in: 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.
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