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Senior Director of Engineering - Data Engineering

Location
Richfield, MN, United States

Posted on
May 21, 2021

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**MEMBERS ONLY**SIGN UP NOW***.
**MEMBERS ONLY**SIGN UP NOW***.
is seeking a Senior Director of Engineering - Data Engineering
where you will play a key role in shaping the **MEMBERS ONLY**SIGN UP NOW***.'s Data Development practices. This is a rare opportunity to apply your leadership and engineering expertise to a subject you love: Data!

We are looking for a leader to establish and grow a talented team of data engineering professionals. We are looking for a leader who embraces inclusive leadership behaviors, is comfortable with ambiguity, demonstrates strong attention to detail, and thrives in a fast-paced environment.

The leader in this role will develop people, form strong working partnerships with business and technology leaders, plan and deliver on cloud migration and subject area development goals, contribute to evolving use of data and decision intelligence led solutions for solving problems, and scale the impact of data through development of scalable, cloud native services.

This role requires stellar technical, business and communication skills to be able to collaborate with business and technology leaders to co-create and understand key enterprise outcomes in addition to being able to build and operate continuous deployment event-driven processing and API enablement pipelines. This role requires exceptional cloud data engineering skills and experience implementing real-time data and model serving services to produce actionable insights.

We embrace a culture of rapid experimentation and constantly strive for improvement and learning. You will work in a collaborative, trusting, agile environment—one that encourages diversity of thought and empowered accountability. You will apply your experience to improve the way we develop solutions at scale, and partner with your stakeholders to deliver on enterprise outcomes while applying your depth of knowledge and expertise to build and coach your teams daily.

Your key areas of responsibility are to:
Develop measurable and actionable objectives for the data development engineering team to accelerate migration to a modem cloud native data platform
Reimagine continuous integration and deployment practices in developing data processing pipelines to achieve sustainable velocity, compliance to acceptable patterns of use and data stewardship fundamentals
Innovate towards building highly scalable real-time data engineering pipelines and data distribution solutions using AI/ML
Build a data engineering organization that is multi-cloud oriented, business focused while being proactive at observing, detecting, and remediating data processing pipelines
Ensure resiliency of and interoperability with legacy platforms while building the bridge to a modern cloud native data platform iteratively
Hire, attract and retain top talent, creating a cohesive culture that fosters innovation, transparent and collaboration
Set performance and development plans for team leaders. Provide regular feedback and coaching to enhance potential. Recognize team successes and challenges
Promote data stewardship and governing the use of data as a strategic discipline
Evaluate emerging trends and patterns of use, and contribute to building an evolutionary architecture that supports constant change
Minimum Qualifications:
12 years of experience in the software engineering field and an engineering degree OR 14 years of relevant professional experience
10 years of experience in agile software delivery
10 years of experience with cloud ready, highly scalable and performant event driven systems of integration
8 years of increasing responsibility leading teams
Preferred Qualifications:
Building and optimizing data pipelines using one or more integration patterns and solutions (e.g., ETL/ELT, Replication/CDC, Message driven, Event driven, Event sourcing, Streaming API design, CQRS and more)
Implementing DevSecOps and CI/CD practices at scale
Pivoting teams from project delivery to agile practices and then transforming to a product led operating model
Assessing skills needed on the team, and work to fill those roles by hiring and training an inclusive, diverse team
Deeply understanding the value of, and the ability to, enable collaboration between engineers, product managers, decision scientists, and leaders
Excellent communication skills, especially when working with a distributed team
Mentoring and delegating work to encourage growth of those around you. Reviewing patterns, code and provide thoughtful, constructive feedback
Bringing a passion to stay on top of tech trends, experimenting with and learning new patterns, participating in internal & external technology forums, and mentoring members of the engineering community especially those working on or introducing event driven and streaming patterns

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