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Kraft Heinz India Pvt Ltd
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Bengaluru · On-site · 6-9 Yrs · Oct 12
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Overview
Group Lead, IT - Data Engineering DataOps Job Description Group Lead – Data Engineering / DataOps Position Summary The Kraft Heinz Information Technology organization is seeking a Group Lead for Data Engineering and DataOps who will serve as an anchor leader for operational excellence across our data platform.
Responsibilities
- Lead, IT - Data Engineering DataOps Job Description Group
- Lead – Data Engineering / DataOps Position Summary The Kraft Heinz Information Technology organization is seeking a Group
- Lead for Data Engineering and DataOps who will serve as an anchor leader for operational excellence across our data platform. This role is primarily focused on the data operations discipline — ensuring the reliability, observability, and continuous delivery of data products across the enterprise. Working closely with cross-functional delivery teams, the Group
- Lead will drive DataOps culture and practice, govern operational processes, and lead a team of data engineers through the full
- Build + Run + Support lifecycle. At this level, the leader owns the DataOps strategy for their group: pipeline reliability, incident response frameworks, data quality operations, operational tooling, and team development. Primary Responsibilities Own the DataOps strategy and operational roadmap for the group, covering pipeline reliability, monitoring, incident management, and continuous delivery practices
- Manage allocation and day-to-day direction of data engineering resources focused on operational delivery across cross-functional teams Establish and enforce DataOps standards including SLAs, SLOs, alerting thresholds, data quality checks, and observability frameworks
- Lead incident response culture: define escalation paths, conduct post-mortems, and drive systemic remediation to reduce recurring pipeline failures
- Drive CI/CD adoption across data pipelines, ensuring automated testing, deployment, and rollback capabilities are standard practice Hold engineering team members accountable for delivery tracking, operational transparency, and timely escalation using shared metrics and evidence
- Conduct and govern code and pipeline reviews at a high standard, ensuring consistency, resilience, and maintainability across all teams
- Manage a backlog of platform and operational improvements to enhance pipeline efficiency, security, and cost optimization on the cloud analytics platform Oversee data quality operations: implement and maintain data quality frameworks, manage data contracts, and ensure downstream trust in data assets
- Collaborate with product owners, stakeholders, and data consumers to identify operational risks and proactively mitigate data reliability issues
- Lead hiring and onboarding for data engineering roles within the group, with a focus on operational and platform engineering skills
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Job application FAQ
Last updated 14 October 2026
- How do I apply for Group Lead - Data Engineering and DataOps at Kraft Heinz India Pvt Ltd?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Kraft Heinz India Pvt Ltd may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Group Lead - Data Engineering and DataOps role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Group Lead - Data Engineering and DataOps remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Group Lead - Data Engineering and DataOps role at Kraft Heinz India Pvt Ltd?
- This is a lead Group Lead - Data Engineering and DataOps role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.