Senior Data Architect Data Architect

We are seeking a highly experienced Senior Data Architect / Data Architect with 20 years of experience leading enterprise-scale data transformations. The role is responsible for architecting complex data ecosystems modern data platforms governance frameworks and enterprise-wide data strategies. The candidate should bring practical Gen AI architectural experience to enable intelligent data platforms enhance search and retrieval systems and embed AI-driven capabilities into enterprise data landscapes without shifting focus away from strong data foundations.

• Define and drive enterprise-wide data architecture strategy aligned with business objectives
• Architect complex data landscapes across multi-source hybrid and cloud ecosystems
• Design scalable resilient and secure enterprise data platforms
• Lead data modernization transformation and platform consolidation initiatives
• Establish enterprise data modelling standards (conceptual logical physical) along with metadata management lineage and enterprise data standards
• Architect end-to-end data solutions including ingestion transformation storage indexing and consumption
• Lead ETL/ELT design using Informatica Databricks Snowflake and cloud-native services
• Design lakehouse and modern data warehouse architectures alongside Big Data implementations using Spark PySpark and Python
• Architect high-performance data retrieval indexing and search frameworks plus complex data migration programs from legacy to cloud
• Establish enterprise Data Governance frameworks MDM strategies and metadata governance with data quality profiling validation and monitoring mechanisms
• Ensure security privacy and regulatory compliance across data platforms
• Architect Gen AI use cases leveraging enterprise data assets including RAG-based frameworks vector indexing and semantic search integrated with structured and unstructured data
• Collaborate with AI/ML teams to enable responsible and scalable AI adoption
• Lead presales solutioning architecture discussions and executive business meetings as Chief Architect

• 20 years of IT experience with a strong focus on Enterprise Data Architecture
• Proven leadership in large-scale data transformation programs
• Expertise in Data Architecture Big Data and ETL Design
• Competency in Data Governance and Data Quality
• Strong experience in Snowflake Databricks and Informatica
• Proficiency in AWS and Azure
• Hands-on capability in Python PySpark and distributed data processing
• Knowledge of Gen AI architecture (RAG semantic search vector indexing)
• Strong executive communication and stakeholder management skills