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Tier-1 brand and metro location increase competition, but senior specialized role narrows the candidate pool.
Core data platform skills transfer across industries, though banking compliance and FinOps add domain specificity.
Extensive mandatory technical and leadership requirements (cloud DW, streaming, modelling, governance, FinOps) make shortlisting strict.
Own end-to-end delivery and operation of data products and platforms across multiple squads, ensuring quality, reliability, and timely outcomes.
Define roadmaps, OKRs, and release plans, managing scope, risk, stakeholder communication, and budget adherence.
Lead and build high-performing teams including hiring, coaching, performance management, and establishing engineering standards and succession plans.
Experience of 5+ years in data engineering or relevant domain.
Location: Hyderabad, India; Hybrid working with at least 2 days/week office presence required.
Strong expertise in semantic layers, KPI/metric definitions, and BI consumption models at scale.
Hands-on experience with cloud data platforms (BigQuery, Snowflake, Redshift, Synapse/Databricks SQL), streaming systems (Kafka/PubSub/Kinesis, Spark/Flink), and data modeling (dimensional/star-snowflake, Data Vault 2.0).
Experienced leader capable of managing multiple squads and owning complex data platform deliveries with production SLAs.
Deep knowledge in semantic layer design and AI/ML data readiness including knowledge graphs, ontologies, and feature engineering for ML workloads.
Strong software engineering mindset with expertise in CI/CD, infrastructure as code (Terraform/CloudFormation), and data governance frameworks ensuring quality and compliance.