About the Role: 

The Manager of Big Data will lead and manage the Big Data engineering team and be the primary liaison for Big Data across the organization. This team owns and runs the data warehouse, several data marts, and some reporting solutions. This role includes being the direct manager of full-time engineers, as well as indirect management of contractors. The person in this role will lead the team together with partners in Product Management and Agile Program Management. The ideal candidate will have a solid understanding of Big Data principles and technologies, and even be able to contribute some hands-on work. 

What You'll Be Doing:

• Manage a Big Data team.
• Partner with Product and Agile Program Management to plan and lead work.
• Be accountable for the team's outcomes and the data warehouse.
• Help define and implement the vision for Big Data at DreamBox.
• Define, measure, track, publish, set goals (KPIs, SLOs, SLI’s) for the team.
• Work efficiently in a collaborative team environment, interacting with technical and non-technical staff.
• Be customer-obsessed, striving to directly understand our customers' needs.
• Gather requirements and assist stakeholders in formulating their data needs; work with engineering teams to integrate applications with the data ecosystem. Help improve the processes by which the team engages with the rest of the organization.
• Continually improve the quality of the software, practices, culture, and team results.
• Oversee the hiring and ongoing professional development of the Big Data team members.
• Report to the Director of Engineering.

About You:

• 7+ years in data engineering 
• 2+ years of experience in management and leadership roles in data engineering organization
• Strong understanding of data engineering concepts and best practices
• Experience working in an agile environment
• Ability to do long term planning balance competing priorities
• Ability to manage multiple stakeholders and competing demands
• Ability to adapt to changing requirements
• Experience hiring, retaining, and mentoring data engineers
• Excellent communication and leadership skills
• Experience working with AWS data solutions, including Redshift
• Experience in Athena, Airflow, Python, and Tableau is preferred
• Strong background in SQL and data modeling
• Willingness to explore new solutions, try different technologies to solve problems, and “fail fast”
• Legally authorized to work in the US 

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