We are hiring for our client - Mega Cloud Lab.
Senior Engineering Manager - Data Governance
AS A SENIOR ENGINEERING MANAGER ON THE DATA GOVERNANCE TEAM, YOU WILL:
We expect our engineering managers to demonstrate a strong engineering background via their past experience both as engineers and as managers.
Our Ideal Engineering Manager Will Have:
- 15+ years of experience in building large scale distributed systems, some of which are in databases, security and/or privacy domains.
- 5+ years of experience in managing and leading engineering teams to build services and framework in the above domains.
- Strong track record of growing and managing engineering teams.
- Strong collaboration and communication skills.
- Strong Computer Science fundamentals
- Experience with database systems and database internals, such as query engines and optimizers are a big plus
- Experience in building data security, data privacy and governance systems is a plus
- Experience with building large scale and sophisticated data pipelines is a plus...
Our Ideal Engineering Manager Will Have:
- Lead and drive projects from idea formulation, to design, and to implementation.
- Drive great partnership with the product management team.
- Set team strategy and be accountable for team plans and deliverables.
- Grow and build a strong, healthy, and diverse team through hiring as well as mentoring and coaching.
- Collaborate with other engineering teams and cross functional teams.
- Provide strong technical leadership to the team and partner teams.
- Revolutionize how organizations leverage data and AI as a strategic business asset
- Understand deeply the state of art research and industry trends, and lead the team to build data governance features into Cloud Service (Snowflake, Databricks )as an integrated service.
Skills: distributed systems,governance systems,large scale distributed systems,data privacy,data security,team strategy,cloud service (databricks),product management,project management,team management,computer science fundamentals,security,data pipelines,data governance,cloud service (snowflake),communication skills,engineering management,industry trends,database systems,technical leadership,data