Enterprise / Data Architect📣 Job Ad

About the Role

Tata Consultancy Services (TCS) announces its need for an experienced Enterprise/Data Architect to join its team in Jeddah, Saudi Arabia. As a leader in IT services, consulting, and business solutions, TCS seeks to enhance data engineering transformation and governance within a large enterprise, ensuring alignment with enterprise principles and regulatory requirements.

Role Responsibilities

• Own and manage the entire Data Lakehouse architecture lifecycle, ensuring consistency across ingestion, storage, processing, consumption, and governance layers.
• Define and validate the target state architecture (Medallion Architecture) in line 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 Data Platform, Teradata Enterprise Data Warehouse, Informatica (ETL, Data Quality, Metadata), and Denodo (Data Virtualization and Consumption) platforms.
• Review and approve detailed designs, data flows, and cross-platform integration patterns.
• Conduct architectural assessments and validate phase deliverables, including data pipelines, logical and physical data models, and gold layer aggregations.
• Identify architectural gaps, non-conforming patterns, and inconsistencies, and define remediation and refactoring strategies aligned with the target architecture.
• Govern the implementation of logical and physical data models in line with FSLDM (Financial Services Logical Data Model) and FSAS aggregations.
• Ensure the correctness, consistency, and reusability of enterprise models and subject area models, validating aggregation logic, hierarchies, and report readiness.
• Ensure compliance with NDMO (National Data Management Office), NDI (National Data Index), and data classification, privacy, and security standards.
• Oversee metadata design, data lineage, data quality, and auditability.
• Ensure the architecture supports regulatory reporting, traceability, and reconciliation requirements.
• Define architectural patterns for high availability (≥** uptime), horizontal scalability, disaster recovery, and point-in-time recovery.
• Review and guide performance tuning strategies for ingestion, transformation, and reporting workloads.
• Act as the primary architectural interface with IT, data governance, security, and business teams.
• Participate in architecture review boards, design walkthroughs, and governance forums.
• Articulate architectural decisions, trade-offs, and implications to senior stakeholders.

Required Qualifications and Experience

• Strong experience in enterprise data architecture, including EDW modernization, data lake/lakehouse architecture, and Medallion architecture patterns.
• Deep understanding of BFSI (Banking, Financial Services, and Insurance) data domains and enterprise reference models like FSLDM and FSAS.
• Hands-on architectural experience with Cloudera CDP (HDFS, Spark, Hive, Kafka), Teradata Vantage, Informatica (ETL), and Denodo.
• Proven experience in designing governed-oriented architectures, including metadata and data lineage, data quality frameworks, security, masking, and encryption.
• Strong understanding of regulatory-driven and compliance-driven data platforms.
• Experience in performance optimization and workloads, scalability and capacity planning, resilience, and designing for backup and recovery.
• Strong communication and stakeholder management skills.
• Ability to lead technical discussions across vendors and cross-functional teams.
• A governance mindset with a hands-on delivery orientation.
• 15+ years of experience in data architecture roles, preferably in large BFSI organizations.
• Proven track record in large-scale data platform transformation programs.
• Experience working in hybrid delivery models with on-site and remote teams.
• Architectural certifications or advanced data engineering background preferred.

Core Skills

• Enterprise Data Architecture
• EDW Modernization
• Data Lake/Lakehouse Architecture
• Medallion Architecture Patterns
• BFSI Data Domains
• FSLDM
• FSAS
• Cloudera CDP (HDFS, Spark, Hive, Kafka)
• Teradata Vantage
• Informatica (ETL)
• Denodo
• Metadata and Data Lineage
• Data Quality Frameworks
• Security, Masking, and Encryption
• Performance and Workload Optimization
• Scalability and Capacity Planning
• Resilience, Backup, and Recovery Design
• Communication
• Stakeholder Management
• Leadership
• Technical Discussions across Vendors and Cross-functional Teams
• Governance Mindset
• Hands-on Delivery Orientation

Additional Information

This is a full-time role and requires 15+ years of experience in data architecture roles. The work location is Jeddah, Makkah Al-Mukarramah, Saudi Arabia.