JioStar
Tech / AI / Software
SeniorDirectorofEngineering,DataPlatforms
“Senior Director of Engineering, Data Platforms at JioStar. Skills: data engineering strategy, data infrastructure, team leadership, stakeholder management, ML/AI integration. Own and evolve our data engineering strategy. Ensure data quality, availability, and accessibility across the organisation”
What You'll Achieve.
ensuring data engineering becomes a strategic enabler for insights, intelligence, and innovation; ensuring that our team spends time where it matters: enabling analytics, ML, and decision-making at scale; ensuring data drives action
Industry & Context.
What They're Looking For.
Must Have
14+ years of experience in data engineering, 3+ years in a leadership capacity, Proven track record of building reliable, scalable, and cost-conscious data infrastructure, Deep expertise in modern data tooling (e. g. , Snowflake, dbt, Airflow, Kafka, Databricks, etc. ) and cloud-native architectures, Track record of corralling data in a consumer facing application, Experience supporting ML/AI initiatives and integrating data engineering with model development and deployment, understanding of data governance, lineage, observability, and security best practices, Excellent stakeholder management and communication skills, A bias for impact over you know when to ship, when to invest, and when to say “no.
Nice to Have
B-Tech or M-Tech in Computer Science or a related technical discipline from a reputed university
What You'll Do.
Own and evolve our data engineering strategy
and accessibility across the organisation
Optimize data infrastructure and operations for cost-efficiency
Build and lead a high-performing team of data engineers
Partner with data science and ML teams to operationalize models and build AI-ready pipelines and platforms
Serve as the connective tissue between technical and non-technical stakeholders
Run and continuously improve core data programs
and metadata governance
Stay abreast of emerging tools and practices in modern data stacks
Develop and communicate a data engineering roadmap aligned with company goals and future growth
Nurture and grow the next line of awesome leaders
Manage a scale data platform
How You'll Work.
Team & Collaboration
Partner with data science and ML teams; Serve as the connective tissue between technical and non-technical stakeholders; translating needs; aligning priorities; ensuring data drives action
Communication Scope
Excellent stakeholder management and communication skills; comfortable in an exec meeting as in a code review; translating complex technical possibilities into clear business value
Process & Methodology
Develop and communicate a data engineering roadmap
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