Data Engineer building modern Data Lake architecture on AWS and implementing scalable ETL/ELT pipelines. Collaborating across teams for analytics and reporting on gaming platforms.
About the role
- Senior Manager leading a team focused on scalable, reliable data products. Driving engineering excellence at Grainger with innovative technology solutions.
Responsibilities
- Define and champion best practices for data product development by establishing a clear “paved road” approach, supported by comprehensive training and accessible documentation.
- Standardize and streamline existing solutions to reduce duplication, improve consistency, and promote reuse across teams and domains.
- Develop and deliver platform capabilities that empower teams with tools, reusable frameworks, and features aligned with our data platform standards—enabling secure, scalable, and sustainable development.
- Partner cross-functionally with engineering, product, and business stakeholders to support the execution of large-scale, high-impact data initiatives.
- Lead and mentor a high-performing team, fostering a culture of innovation, collaboration, and continuous improvement.
- Partner with product owner(s) to influence data platform roadmap.
- Partner with engineering teams, business teams and MLOps to guide AI/ML requests to recommended solution.
- Lead a team of data engineers that leverages modern engineering practices to build configurable, scalable data pipelines and data platform features.
- Drive execution of engineering roadmap to mature enterprise data products in partnership with platform, architecture, and engineering teams.
- Lead development team in troubleshooting, coding, testing, implementation, and documenting solutions.
Requirements
- Bachelor’s degree in information technology, Computer Science, or related field
- 10+ years’ experience in Software Engineering or Data Engineering
- A strong track record as an Engineering Manager or technical team leader guiding multiple squads or a program.
- Hands-on background building data platform features and data product enablement.
- Excellent communication and stakeholder skills across engineering, product, design, and analytics.
- Deep understanding of SDLC best practices, CI/CD, testing strategies, and system design fundamentals.
- Ability to navigate ambiguity, set clear priorities, and deliver consistently in a large-scale enterprise environment.
- Growth mindset with a coaching orientation; you build inclusive, high-trust teams.
- Experience recruiting, onboarding, and retaining engineering talent in blended teams (FTEs and partners).
Benefits
- Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 6 free sessions each year with a licensed therapist to support your emotional wellbeing.
- 18 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) and 6 company holidays per year.
- 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required.
- Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools.
- Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents.
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