Manager of Data Engineering

This position offers a base salary range of $99,067 - $165,114 per year, depending on experience and qualifications, plus bonus based on company performance.

One of the MANY work perkz at Sheetz is quarterly employee bonuses based on company performance! And there's more - A LOT more... like competitive salaries, PTO and parental leave, 401k match and employee stock ownership, limitless professional development and growth opportunities, tuition reimbursement, full medical, vision and dental coverage, and snack discounts!

OVERVIEW

Provide oversight to the data engineering function and thought leadership for enterprise data solutions and delivery. Responsible for leading, mentoring, and coaching a team of data engineers. In collaboration with Business, Analytics and Data Science team, create data solutions that drive business value. Ensure Sheetz is building scalable and efficient solutions leveraging emerging technology (Databricks, AWS, etc..). Advocate thought leadership and help establish the product roadmap.

RESPONSIBILITIES (other duties may be assigned)

1. Lead the enterprise Data Engineering team through designing, implement, testing and maintaining data pipelines that support business objectives.

2. Maximize the development of internal talent through regular performance coaching, performance reviews and presenting developmental opportunities

3. Collaborate with Product Teams, I&T professionals, and business partners to deliver scalable, secure, and efficient data solutions.

4. Provide thought leaderships around the data strategy and technical roadmap. Providing guidance on key technical decisions as well as implementation and adoption.

5. Manages the planning, prioritization and execution of data related projects aligning with business outcomes.

6. Communicate regularly with data analysts, data scientists, and other members of the Business Insights team.

7. Perform and monitor data governance, data quality and standards and understand downstream implication.

8. Define, measure, review, and implement the data engineering standards and best practices including data engineering processes, tools, and documentation.

9. Keep abreast of new features and functionality across the data ecosystem (Databricks, AWS, PowerBI, Tableau) and how to incorporate into Sheetz processes.

QUALIFICATIONS

(Equivalent combinations of education, licenses, certifications and / or experience may be considered)

Education

• Bachelor's degree in Business, Information Systems or Computers Science is required.

Experience

Licenses / Certifications

Tools & Equipment

ACCOMMODATIONS

Sheetz is committed to the full inclusion of all qualified individuals. Sheetz is committed to considering all applicants regardless of disability who can perform all essential job duties with or without accommodations.