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
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