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Tier-1 brand and metro Hyderabad increase candidate interest, but seniority and niche skills limit applicant pool.
High because enterprise data platform leadership, regulatory controls, and domain-specific semantic governance require sector experience.
High due to explicit 15+ years requirement and many mandatory technical, leadership, and platform skills.
Own end-to-end delivery and operation of data products and platforms across multiple squads, ensuring outcomes, quality, and reliability.
Define roadmaps, OKRs, release plans; oversee scope, estimation, risk, and stakeholder communication; manage team building and leadership.
Establish scalable engineering patterns including semantic layers, KPI/metrics, AI-ready foundations (knowledge graphs), streaming pipelines, data quality, observability, security, and vendor management.
15+ years of relevant experience in data engineering and platform delivery.
Location: Hyderabad, India with hybrid working (minimum 2 days onsite per week).
Strong expertise with cloud data platforms such as BigQuery, Snowflake, Redshift, or Synapse/Databricks SQL.
Proven leadership experience owning complex data platform deliveries and managing multiple technical squads.
Experienced leader capable of coordinating across multiple teams delivering scalable data platforms with measurable results.
Deep domain expertise in semantic layers, BI metrics, AI/ML data pipeline design including knowledge graphs and feature engineering.
Skilled in establishing engineering best practices, governance, data quality, observability, FinOps, and security in a large-scale cloud data environment.