G

Gartner

Sells research and advice to business leaders

Director Data Engineer

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeGurugram, Haryana, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 9 years of progressive experience in data engineering, advanced analytics, MLOps, and complex distributed system architecture.
  • A bachelor’s degree is required.
  • Expertise in designing and optimizing enterprise pipelines, data workflows, and modern orchestration frameworks for complex AI and machine-learning systems.
  • A proven track record of deploying, monitoring, and scaling AI models in production, managing output consistency, and implementing automated regression and evaluation suites.
  • Hands-on experience architecting scalable data systems within major cloud environments and modern enterprise data platforms.
  • Strong proficiency in Python, with deep experience using numerical processing, orchestration, and automated testing libraries to develop scalable enterprise solutions.
  • A proven ability to build evaluation tooling, system monitoring dashboards, and alerting frameworks to detect production performance degradation.
  • Ability to translate loosely defined requirements or prototype models into actionable engineering architecture.
  • Ability to manage multiple priorities while balancing risk, technical debt, and architectural trade-offs.
  • Ability to communicate complex architectural concepts, system behaviors, and MLOps methodologies to business, research, and technical audiences.

Responsibilities

  • Architect the destination state for high-volume data pipelines supporting model training and complex, multi-prompt inference workflows at enterprise scale.
  • Design evaluation frameworks, guardrails, and automated quality gates to manage consistency, reliability, and variance in non-deterministic AI outputs.
  • Establish MLOps and LLMOps practices and system telemetry to monitor pipeline health, detect data and model drift, and ensure continuous production performance.
  • Partner with Data Science, Product, and Research leaders to define technical roadmaps and move prototype models into scalable, production-grade capabilities.
  • Architect solutions for data isolation, metadata management, and data classification across internal, external, and unstructured data sources.
  • Establish engineering standards, reusable code design principles, and continuous integration/continuous delivery governance frameworks to accelerate engineering velocity and reduce technical debt.
  • Lead modernization of production data platforms by identifying architectural bottlenecks, improving system resilience, and expanding end-to-end automation.

Desired Qualifications

  • A master’s degree in Computer Science, Data Science, Software Engineering, or a related quantitative discipline.

About the Company

Gartner

Sells research and advice to business leaders

Gartner sells business and technology research to executives and their teams, along with advice for decisions about strategy, spending, and operations. Clients use its reports, benchmarking tools, and conversations with experts to evaluate vendors, compare practices, and plan investments. Its consulting teams work on technology strategy and complex projects, while conferences bring leaders together for expert sessions and peer discussions. The company earns revenue from research subscriptions, consulting engagements, and conference attendance, serving organizations across many sectors. Gartner was founded in 1979 and is headquartered in Stamford, Connecticut.

Company size
10,001+
Company stage
IPO
Headquarters
Stamford, CT
Founded
1979

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