**Data Engineering Manager Responsibilities**:- Work with other leads from product, engineering, data science and research, to identify and build data products that will aid with the identification, analysis, goal setting and tracking with insights- Manage and mentor a team of data engineers and provide technical guidance on the data products- Define data strategy and vision to build sustainable data infra and guide product strategy through data- Develop roadmaps for both product related DE work as well as overall data maturity roadmap- Lead/support initiatives to up level the data engineering function- Proactively drive the vision for BI and Data Warehousing across a product vertical, and define and execute on a plan to achieve that vision.- Define the processes needed to achieve operational excellence in all areas, including project management and system reliability- Build a high quality BI and Data Warehousing team and design the team to scale.- Drive the design, building, and launching of new data models and data pipelines in production.- Drive data quality across the product vertical and related business areas.- Manage the delivery of high impact dashboards and data visualizations.- Define and manage SLA’s for all data sets and processes running in production.**Minimum Qualifications**:- 3+ Experience scaling and managing teams.- 6+ years of experience in BI and Data Warehousing.- Project management experience.- Experience in SQL or similar languages and development experience in at least one scripting language (Python, Perl, etc.).- Experience scaling and managing 5+ person teams- BA/BS in Computer Science, Math, Physics, or other technical field.- Communication and leadership experience, with experience initiating and driving projects.- Data architecture experience.**Preferred Qualifications**:- Experience in a consumer web or mobile company.- Experience with large data sets, Hive, and defining best practices for data visualization.- Advanced degree.