Director Data Engineering and platforms
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Job Location:
Monthly Salary:
Posted on:
16 hours ago
Vacancies:
1 Vacancy
Job Summary
Role Summary: As a Director of Data Engineering and Platforms you will lead and scale high-performing engineering teams responsible for building and operating JioHotStars missioncritical data infrastructure. Your teams power platforms that handle hundreds of millions of requests per minute process billions of realtime events daily and manage petabytescale data systems that directly enable media streaming personalization analytics and AIdriven experiences. This role blends people leadership technical depth delivery ownership and strategic influence. You will be accountable for execution excellence system reliability cost efficiency and growing engineers into strong technical leaderswhile partnering closely with Product Data Science AI and Business stakeholders.
About the team: The Data Platforms team at JioHotStar builds the foundational data systems that power nextgeneration media experiences AIpowered products and autonomous agents. Beyond traditional data engineering the team enables AI/ML pipelines MCP infrastructure and realtime intelligence that operate at massive scale across live sports video streaming and digital platforms. As an Engineering Manager you will help shape the platform roadmap scale the organization and ensure the team consistently delivers resilient secure and futureready systems.
Key Responsibilities:
- People & Team Leadership: Lead hire mentor and grow high-performing data platform engineering teams while fostering a culture of ownership accountability and engineering excellence.
- Technical & Architectural Stewardship: Provide technical direction and architectural oversight for large-scale real-time data platforms supporting media streaming analytics and AI/ML workloads.
- Execution & Delivery Ownership: Own end-to-end delivery of platform initiatives ensuring predictable execution high system reliability and operational excellence at scale.
- Cross-Functional Partnership: Partner with Product AI/ML Analytics and Business stakeholders to translate business goals into scalable platform outcomes.
- Platform Economics & Impact: Drive cost efficiency scalability and data governance while improving time-to-insight and business decision-making.
- Provide technical direction and architectural oversight for largescale data systems
- Review and guide system designs tradeoffs and longterm platform decisions
- Ensure data platforms support AI/ML workloads MCP services and realtime personalization
- Balance handson technical involvement with effective delegation
- Champion best practices in distributed systems reliability security and data governance
- Own endtoend delivery for platform initiativesfrom planning to production
- Translate business and product requirements into clear technical roadmaps and milestones
- Ensure predictable execution through sprint planning prioritization and dependency management
- Drive operational excellence: monitoring incident management SLAs and postmortems
- Continuously improve developer productivity system stability and release velocity
- Partner closely with Product Analytics AI/ML Media Tech and Business teams
- Act as the primary technical and delivery interface for senior stakeholders
- Influence platform strategy through datadriven insights and clear communication
- Ensure data is trusted discoverable and accessible across the organization
- Own cost efficiency and unit economics across ingestion storage and processing layers
- Drive optimization initiatives for cloud infrastructure and tooling
- Ensure platforms reduce timetoinsight and improve business decisionmaking
- Balance innovation with operational sustainability at scale
Technical & Architectural Leadership
Delivery & Execution Ownership:
CrossFunctional & Stakeholder Collaboration:
Platform Economics & Business Impact:
Skills and attributes for success:
- Leadership & Management: Proven ability to lead and scale senior engineering teams coach talent and manage performance in fast-paced environments.
- Technical Depth: Strong understanding of distributed data systems streaming architectures cloud platforms and data foundations for AI/ML.
- Execution Excellence: Demonstrated ownership of complex platform deliveries with a strong bias toward reliability observability and continuous improvement.
- Systems Thinking: Ability to evaluate architectural trade-offs and guide teams toward sustainable long-term solutions.
- Communication & Influence: Clear communicator who can influence technical and non-technical stakeholders and drive alignment across teams.
- Strong understanding of realtime and batch data architectures
- Handson experience with distributed processing frameworks (Spark Flink or equivalent)
- Deep familiarity with Kafka/Kinesis eventdriven systems and streaming pipelines
- Cloud expertise with AWS (S3 EMR Kinesis Glue Redshift etc.) or equivalent
- Strong grasp of data lakes warehousing and modern table formats (Iceberg Delta Hudi)
- Experience supporting AI/ML data pipelines feature stores and training workflows
- Solid grounding in databases data modeling and SQL
- Ability to communicate complex technical concepts to nontechnical stakeholders
- Strong decisionmaking skills with a bias for action and longterm thinking
- Experience influencing architecture and roadmap beyond your immediate team
- Passion for building inclusive diverse and highimpact teams
Technical Expertise (Depth Breadth):
Leadership & Communication:
Preferred Education & Experience:
- B-Tech or M-Tech in Computer Science or a related technical discipline from a reputed university.
- 12 years of experience in data engineering with 5 years in a leadership capacity.
- Experience leading multiteam or platformwide initiatives
- Prior exposure to media streaming adtech personalization or AI platforms
- Track record of scaling teams and systems during periods of rapid growth
About Us
Perched firmly at the nucleus of spellbinding content and innovative technology JioStar is a leading global media & entertainment company that is reimagining the way audiences consume entertainment and sports. Its television network and streaming service together reach more than 750 million viewers every week igniting the dreams and aspirations of hundreds of million people across geographies.
JioStar is an equal opportunity employer. The company values diversity and its mission is to create a workplace where everyone can bring their authentic selves to work. The company ensures that the work environment is free from any discrimination against persons with disabilities gender gender identity and any other characteristics or status that is legally protected
If you would like more information about how your data is processed please contact us.
Required Experience:
Director
Key Skills
- Go
- Lean
- Management Experience
- React
- Node.js
- Operations Management
- Project Management
- Research & Development
- Software Development
- Team Management
- GraphQL
- Leadership Experience
About Company
JioStar combines the power of Reliance’s Viacom18 and Disney Star, delivering unmatched entertainment with 120+ TV channels and two leading streaming platforms. Explore a new era of content with JioStar.
