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Tier-1 brand, metro Hyderabad location, and broad data stack requirements increase applicant density.
Core data engineering skills transfer easily, but senior leadership and healthcare domain preference increase sensitivity.
Explicit 15+ years plus mandatory Snowflake/Spark/AWS and leadership skills drive high filtering.
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Lead and provide architectural and design direction for the data engineering team, ensuring alignment with technology strategy and business requirements.
Manage and optimize data engineering assets focusing on performance, availability, security, and cost efficiency across Snowflake, Apache Spark, and cloud platforms.
Drive process improvements, coordinate cross-functional initiatives, and oversee the development of scalable data solutions and reusable data products to support enterprise-wide analytics.
15+ years of professional experience in data engineering or related roles.
7+ years of hands-on experience with Python and Apache Spark; 3+ years with Snowflake; 5+ years with SQL and AWS cloud platforms.
Bachelor’s degree in technical or business-related field or equivalent experience; industry certifications such as PMP, Scrum Master, or Six Sigma Green Belt.
Primarily based in Hyderabad, India with hybrid work model (3 days WFO, 2 days WAH); ability to overlap with US working hours.
Experienced senior leader capable of managing and coaching data engineering teams in agile environments and driving enterprise data strategy.
Deep expertise with modern big data technologies including Snowflake, Apache Spark, data modeling tools, and cloud-native data architectures.
Demonstrated ability to influence cross-functional teams, lead process improvements, and deliver operational efficiencies in large-scale data platforms within regulated or healthcare-related domains.