Data Engineering Manager
Experity (company site, opens in a new tab)10+ yrsBengaluruOn-siteDirect career pageEst. 30–48 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead and grow a high-performing data engineering team with responsibility for hiring, coaching, onboarding, performance, and career development.
- Own the design, evolution, and operational excellence of scalable, secure cloud data pipelines and platforms using Snowflake, AWS, Kafka, dbt, Airflow, and related technologies.
- Manage engineering execution including capacity planning, risk, delivery commitments, data quality, governance, security compliance, and cross-functional stakeholder collaboration.
Minimum Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field, or equivalent practical experience.
- Minimum 10 years in software or data engineering including large-scale cloud data platforms; at least 3 years in direct engineering people management.
- Strong hands-on skills in SQL, Python, Snowflake, AWS, ETL/ELT, data modeling, distributed systems, batch/stream processing; experience with Airflow, dbt, CI/CD, monitoring, automated testing, infrastructure-as-code; familiarity with Kafka and CDC.
- Demonstrated architectural judgment, troubleshooting, engineering leadership, communication skills, and understanding of security/governance in sensitive data environments.
Ideal Candidate Profile
- Experienced technical leader capable of balancing hands-on problem solving with delegation and accountability for team delivery and operational outcomes.
- Comfortable leading architecture and modernization efforts across a cloud data platform with emphasis on reliability, cost efficiency, and AI-ready data services.
- Capable of managing globally distributed teams and collaborating cross-functionally with product, analytics, AI/ML, security, and business stakeholders.