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Tier-1 brand and Bangalore metro boost competition, while seniority and niche data-platform focus reduce it.
Data-platform engineering skills transfer across industries but require domain-specific pipeline and observability experience.
Explicit 8+ years, 3+ people-management, and domain-specific data platform requirements make shortlisting strict.
Lead and develop a software engineering team to design, build, and operate scalable, secure Data Quality Platform services.
Set technical direction and collaborate on cross-organizational initiatives focusing on data profiling, quality rules, anomaly detection, and data health.
Ensure reliable production operations, implement on-call strategies, incident management, and integrate machine-assisted AI/ML capabilities for data quality workflows.
Bachelor’s Degree or equivalent, technical degree preferred.
8+ years of relevant professional experience with 3+ years in people management.
Proven end-to-end ownership of complex software or data platform systems including design, implementation, and operations.
Experience with data platforms, data quality, observability, data pipelines or related domains.
Experienced leader in large-scale, distributed technology environments accountable for architecture, strategy, and delivery outcomes.
Strong background in high-throughput data systems, site reliability engineering, capacity planning, and production operations at scale.
Proven ability to drive architectural modernization and cultivate high-performance engineering culture through coaching and development.