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Tier-1 brand and Bangalore location increase applicant density, but senior specialized skillset moderates competition.
Deep Data Vault, Snowflake, DBT, and banking governance requirements make domain experience highly critical.
Mandatory 15+ years and specific Snowflake, Data Vault, DBT and AWS expertise create strict shortlisting filters.
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Lead and execute end-to-end proof-of-concepts (PoCs) across modern data technologies including ingestion, transformation, and AI/ML enablement for the enterprise data platform.
Drive hands-on implementation and validation of the Nexus platform components such as data ingestion (CDC tools, API-driven), core data modeling (Data Vault 2.0 on Snowflake), transformation pipelines (DBT), orchestration (Airflow), and real-time API enablement.
Collaborate closely with data architects, CoEs, and innovation teams to align architecture decisions, embed data quality and governance, and develop reusable platform standards and accelerators.
15+ years of experience in data engineering, data platforms, or data architecture.
Hands-on expertise with AWS services (S3, Lambda, Lake Formation, Fargate), Snowflake (advanced SQL, performance tuning, Data Vault 2.0), DBT, and Airflow/Astronomer.
Experience leading technology evaluations, PoCs, and making architectural recommendations in a modern enterprise data platform environment.
Work Experience Required: 15+ years; Location: Bangalore; Role Type: Hybrid
Senior technical leader comfortable operating at the intersection of architecture, innovation, and hands-on engineering with direct responsibility for delivery and technology validation.
Experienced in enterprise-scale modern data platform tools and methodologies, especially strong in Data Vault 2.0 and scalable data platform patterns on cloud (AWS and Snowflake).
Proven ability to collaborate cross-functionally with architecture, analytics CoEs, and innovation teams to translate vision into production-ready, governed solutions.