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