Roles & Responsibilities :

You Will :

- Owns the roadmap, timelines and delivery of data engineering and data science work streams by building end-to-end schedules, and managing cross team and cross functional project timelines in collaboration with engineering management, product management and business stakeholders.

- Lead multiple data-solution programs covering data pipelines, visualizations, data alerts, advanced analytics and machine learning methods, translating raw data into strategic insights and recommendations for leadership and business teams.

- Lead the technical delivery, implementation, and business adoption of new scalable and reliable data analytics, and business intelligence solutions for cross-functional teams

- Is the custodian of agile and scrum processes

- Conducts retrospectives, understands best practices, drives process improvements, finds new ways of operating with a focus on engineering efficiency and simplicity of processes.

- Ensures that the team is adhering to estimates, schedule and agreed quality parameters of their tasks.

- Is proficient in creating quarterly and sprint wise plans, and sprint delivery reports and is able to drive improvements on any deviations from set goals.

- Manages risks and issues to closure.

- Manages and tracks all action items with respective stakeholders and brings it to closure.

- Collaborates across teams to work with technology vendors to enable financial plans, operating plans, vendor onboarding and continuous monitoring of performance and cost.

- Creates presentations based on multiple sources of data, brings out insights from the data, recommends actions and plans for their execution.

You Have :

- Experience as a software developer and as a team lead in the data engineering space.

- Engineering manager experience would be an added advantage.

- Atleast 2 years of experience developing data solutions using any data engineering methods.

- Has working knowledge of SQL

- Worked in a startup or fast product development environment with frugality and some degree of ambiguity.

- B. Tech must-have, MBA would be good to have.

- Proven track record of delivering enterprise level ETL / Data-warehouse specific products/projects.

- At least 2 years experience in running either AWS/ GCP or Azure data projects.

- Databricks knowledge would be an added advantage

- 7 to 10 years of experience in the software industry.

- Min 5 years of experience in managing technology programs as program manager.

Mandatory Skills :

- Project Management, Data Warehouse, Data Lake, Analytics, Cloud Platform (snowflake & AWS)

Desirable Skills :

- Programming, Architecture, Solutioning, Design and DevOps