Your Opportunity as the Manager, Data Engineering – Enterprise Data Platform
The Manager, Data Engineering is responsible for leading a team of Data Engineers focused on building and operating high-quality data pipelines within a modern cloud data platform. This role combines people leadership, hands-on technical oversight, and operational excellence to deliver trusted, scalable, and efficient data solutions. As part of the Enterprise Data Platforms & Enablement team, this role partners closely with Cloud Engineering, Governance, Architecture, and business stakeholders to support a large-scale transformation from on-premise systems to cloud-native platforms. The Manager ensures that data engineering practices align with modern best practices, including Databricks-based development, medallion architecture (bronze/silver/gold layers), and automated data ingestion frameworks (e.g., Fivetran).
Location: Orrville, OH (Close proximity to Cleveland/Akron)
Work Arrangements: Hybrid - onsite a minimum of 9 days a month primarily during core weeks as determined by the Company; maybe more as business need requires
In this role you will:
Platform & Architecture
Provide technical leadership for the Databricks platform, including workspace, jobs, clusters, and performance optimization
Collaborate with Cloud Engineering to ensure seamless integration with AWS services (e.g., S3)
Ensure alignment with enterprise architecture, including data modeling, partitioning strategies, and storage optimization
Optimize compute usage for performance and cost efficiency
What we are looking for:
Minimum Requirements:
Bachelor’s Degree or equivalent experience
7+ years of experience in data engineering or data platform roles
3+ years of experience leading and developing technical teams
Experience operating in modern cloud data environments (Databricks, data lakes, or lakehouse platforms)
Proven experience delivering enterprise-scale data pipelines and platforms
Experience supporting cloud migration or modernization initiatives
Strong expertise in Databricks (notebooks, jobs, cluster management)
Proficiency in Python and PySpark for distributed data processing
Advanced SQL skills and experience working with large-scale datasets
Experience designing and operating cloud-based data platforms (AWS preferred)
Experience with data ingestion tools (e.g., Fivetran or similar)
Deep understanding of data modeling and medallion architecture patterns
Additional skills and experience that we think would make someone successful in this role (not required):
AWS services such as S3, IAM, and data storage architectures
Data governance tools such as Atlan or similar
Reporting and visualization tools such as Tableau
CI/CD tools and automation frameworks
Monitoring and observability tools for data platforms
The Right Place for You
We are bold, kind, strive to do the right thing, we play to win, and we believe in a strong community that thrives together. Our culture is rooted in our Basic Beliefs, and we believe in supporting every employee by meeting their physical, emotional, and financial needs.
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We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, genetic information, age, national origin, disability status or protected veteran status.
