Enterprise / Data Architect
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Key skills for this role
About the Role
Tata Consultancy Services is seeking an Enterprise/Data Architect for a role in Jeddah, KSA. The position involves owning end-to-end Data Lakehouse architecture, ensuring alignment with Medallion Architecture, and governing data modeling standards.
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 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, 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, logical and physical data models, and Gold layer aggregations.
- Identify architectural gaps, anti patterns, and misalignments; define remediation and rebuild strategies.
- Govern the implementation of logical and physical data models aligned to FSLDM and FSAS aggregation standards.
- Ensure alignment with NDMO, NDI, BANK data classification, privacy, and security standards.
- Oversee metadata, lineage, data quality, and auditability design; ensure architecture supports regulatory reporting, traceability, and reconciliation.
- Define architecture patterns for high availability (≥99.9% uptime), horizontal scalability, disaster recovery, and point in time restore.
- Act as the primary architectural interface with BANK IT, Data Governance, Security, and Business teams; participate in architecture review boards and governance forums.
Requirements
- 15+ years of experience in data architecture roles, preferably in large BFSI organizations
- Proven track record of large scale data platform transformation programs
- 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, Teradata Vantage, Informatica, Denodo
- Proven experience designing governance driven architectures: 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
- Experience working in hybrid delivery models with onsite and offshore teams
Full Job Posting
About Us
- Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting led, cognitive powered, integrated portfolio of business,
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, 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, logical and physical data models, and Gold layer aggregations.
- Identify architectural gaps, anti patterns, and misalignments; define remediation and rebuild strategies.
- Govern the implementation of logical and physical data models aligned to FSLDM and FSAS aggregation standards.
- Ensure alignment with NDMO, NDI, BANK data classification, privacy, and security standards.
- Oversee metadata, lineage, data quality, and auditability design; ensure architecture supports regulatory reporting, traceability, and reconciliation.
- Define architecture patterns for high availability (≥99.9% uptime), horizontal scalability, disaster recovery, and point in time restore.
- Act as the primary architectural interface with BANK IT, Data Governance, Security, and Business teams; participate in architecture review boards and governance forums.
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), Denodo.
- Proven experience designing governance driven architectures: 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.
Experience & Qualifications
- 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.
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