Data Engineering

Manager, Data Engineering
Onsite: Newport, CA

THE OPPORTUNITY
The Manager will oversee Data Engineering teams and will be a thought leader for enterprise data solutions and delivery across the company. This role will lead, manage, and continue to build the enterprise data engineering function and strategy along with mentoring and coaching teams of data engineers. This high impact role will have an opportunity to lead a team to build our enterprise data solutions and work with emerging technologies such as Snowflake, Azure Data Lake/Azure Data Factory, DBT and more. This leader will be an expert at developing, implementing, and operating stable, scalable, low-cost enterprise data solutions.

WHAT YOU’LL DO

1. Lead and support the enterprise Data Engineering teams through design, develop, test, implement, and support next generation enterprise data solutions.
2. Oversee and manage data engineering across many Agile teams and data pods supporting all enterprise data initiatives to ensure that there is strong planning and execution along with quality and rigor.
3. Act as a key contributor to the data engineering technical strategy for enterprise data solutions.
4. Define, measure, review, and implement the data engineering standards and best practices including data engineering processes, tools, and documentation.
5. Collaborate with the Product team, other Tech leaders/teams and business partners at all stages of the data delivery life cycle.
6. Build, lead, and mentor the team(s) toward growth and improvement. Conduct regular 1:1s with each direct report, quarterly 4x4 conversations and career development plans.

WHAT YOU’LL BRING TO THE TABLE

1. B.S/B.A. in Computer Science, Information Systems or related degree preferred.
2. 5+ years of experience in a related field (Data Warehousing, Business Intelligence, Analytics).
3. 2-3 years of experience managing data engineering teams and/or leading Agile scrum teams in development.
4. 3+ years of experience with Modern Data Architecture (Snowflake, Azure Data Lakes, DBT, FiveTran, etc.).
5. Strong experience leading technical discussions, conducting code reviews, and contributing to solution designs/architecture.
6. Proficient experience in Data engineering and data modeling (physical and logical).
7. Understanding of data engineering best practices with an Agile focus.
8. Excellent verbal and written communication skills, ability to communicate clearly with senior leadership.

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