Engineering Manager - Data
Turvo (company site, opens in a new tab)10+ yrsHyderabadOn-siteDirect career pageEst. 30–48 LPA
Posted 2h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead and develop a high-performing Data, Analytics, and AI/ML engineering team including hiring, mentoring, and performance management.
- Own end-to-end delivery of data platforms and intelligent products such as streaming pipelines, ETL/ELT, data warehouses, analytics APIs, and AI/ML features.
- Drive technical strategy and standards for reliability, data quality, security, and cost for batch and real-time systems; oversee implementation of event-driven architectures and AI/ML engineering initiatives.
Minimum Requirements
- 10+ years hands-on experience building and operating data-intensive, distributed systems.
- 3+ years experience leading engineers or equivalent scope in data/analytics/ML engineering or platform teams.
- Bachelor’s degree in Computer Science or related field, or equivalent practical experience.
- Strong skills in Java/Python, data streaming (Kafka or similar), ETL/ELT, cloud data warehouses (Snowflake, BigQuery, Redshift), PostgreSQL and MongoDB operations in production, and experience delivering AI/ML or LLM-enabled products in production.
Ideal Candidate Profile
- Experienced in scaling both teams and complex data platforms horizontally and vertically.
- Able to bridge technical leadership and cross-functional collaboration, simplifying complex data and AI concepts for business and product stakeholders.
- Practiced in enforcing engineering best practices including testing, CI/CD, monitoring, and operational excellence for data and ML workloads.