Manager, Data Engineering

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 requiresIn this role you will: Team Leadership & DeliveryLead, coach, and develop a team of Data Engineers, fostering strong technical skills and ownershipSet clear priorities, manage workload, and ensure timely delivery of data engineering initiativesEstablish engineering standards, code quality expectations, and best practices across the teamPartner with stakeholders to translate business needs into scalable data solutionsData Pipeline EngineeringOversee the design, development, and operation of data pipelines built in DatabricksEnsure pipelines are scalable, reliable, and aligned to medallion architecture standards (bronze, silver, gold)Guide implementation of ingestion frameworks using tools like Fivetran and custom ingestion patternsDrive consistent development patterns for batch and near real-time data pipelinesPlatform & ArchitectureProvide technical leadership for the Databricks platform, including workspace, jobs, clusters, and performance optimizationCollaborate 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 optimizationOptimize compute usage for performance and cost efficiencyData Quality, Governance & ReliabilityEstablish and enforce data quality standards, including testing, validation, and monitoring frameworksEnsure robust observability across pipelines (monitoring, alerting, lineage visibility)Partner with Governance teams to support metadata management and lineage through tools like AtlanEnforce security, compliance, and data access standards across all data engineering assetsOperations & Continuous ImprovementOwn production support processes, including incident management, root cause analysis, and preventionEstablish proactive monitoring and health checks for pipelines and platform performanceDrive continuous improvement in automation, CI/CD, and release management practicesSupport and lead data migration efforts from legacy on-prem systems to cloud platformsWhat we are looking for: Minimum Requirements:Bachelor’s Degree or equivalent experience7+ years of experience in data engineering or data platform roles3+ years of experience leading and developing technical teamsExperience operating in modern cloud data environments (Databricks, data lakes, or lakehouse platforms)Proven experience delivering enterprise-scale data pipelines and platformsExperience supporting cloud migration or modernization initiativesStrong expertise in Databricks (notebooks, jobs, cluster management)Proficiency in Python and PySpark for distributed data processingAdvanced SQL skills and experience working with large-scale datasetsExperience 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 patternsAdditional skills and experience that we think would make someone successful in this role (not required): AWS services such as S3, IAM, and data storage architecturesData governance tools such as Atlan or similarReporting and visualization tools such as TableauCI/CD tools and automation frameworksMonitoring and observability tools for data platformsThe Right Place for YouWe 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. Stay connected with us on LinkedIn 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. SummaryLocation: Orrville, OH; Akron, OHType: Full time