Data Engineering Manager

• 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 Snowflake project

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

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