Senior Data Architect / Data Architect

Job description

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. **Responsibilities** - 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 **Requirements** - 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