Director, Data Engineer (Python, PySpark, MLOps, SQL, Databricks)
gartner · Gurgaon
Job description
About the role
Gartner is hiring a Director of Data Engineering for its Tech Market Economics team in Gurgaon. The role leads a rapidly growing capability that builds Gartner's next generation of analytical platforms, moving from artisanal research to a continuous, AI-powered insight engine. It is a strategic leadership position focused on architecting the destination state of data, analytics and MLOps platforms, with the agility of a startup and the backing of Gartner.
Key responsibilities
- Architect high-volume data pipelines supporting model training and complex, multi-prompt inference at enterprise scale.
- Build evaluation frameworks, guardrails and automated quality gates for consistent, reliable AI outputs.
- Establish MLOps/LLMOps practices and telemetry to monitor pipeline health, data and model drift and production performance.
- Partner with Data Science, Product and Research leaders to turn prototype models into production-grade capabilities.
- Design solutions for data isolation, metadata management and data classification across internal, external and unstructured sources.
- Set engineering standards, code design principles and CI/CD governance, and lead modernization of production data platforms.
Required profile
- 9+ years of progressive experience in data engineering, advanced analytics, MLOps and distributed system architecture.
- Bachelor's degree required; Master's in Computer Science, Data Science, Software Engineering or a related quantitative field preferred.
- Proven track record deploying, monitoring and scaling AI models in production, with automated regression and evaluation suites.
- Hands-on experience architecting scalable data systems in major cloud environments.
- Ability to build evaluation tooling, monitoring dashboards and alerting frameworks.
Required skills
- Python, with numerical processing, orchestration and automated testing libraries
- SQL, PySpark, Databricks
- MLOps and LLMOps practices
What we offer
- Competitive salary, generous paid time off and charity match program
- Group medical insurance, parental leave and Employee Assistance Program
- Hybrid work environment, collaborative culture and professional development opportunities
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Published 13 hours ago
Expires 1 month from now
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gartner
Gurgaon
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