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:
Team Leadership & Delivery
Lead, coach, and develop a team of Data Engineers, fostering strong technical skills and ownership
Set clear priorities, manage workload, and ensure timely delivery of data engineering initiatives
Establish engineering standards, code quality expectations, and best practices across the team
Partner with stakeholders to translate business needs into scalable data solutions
Data Pipeline Engineering
Oversee the design, development, and operation of data pipelines built in Databricks
Ensure 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 patterns
Drive consistent development patterns for batch and near real-time data pipelines
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
Data Quality, Governance & Reliability
Establish and enforce data quality standards, including testing, validation, and monitoring frameworks
Ensure robust observability across pipelines (monitoring, alerting, lineage visibility)
Partner with Governance teams to support metadata management and lineage through tools like Atlan
Enforce security, compliance, and data access standards across all data engineering assets
Operations & Continuous Improvement
Own production support processes, including incident management, root cause analysis, and prevention
Establish proactive monitoring and health checks for pipelines and platform performance
Drive continuous improvement in automation, CI/CD, and release management practices
Support and lead data migration efforts from legacy on-prem systems to cloud platforms
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.
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.
Skills Required
- 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, 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 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 (bronze/silver/gold)
- Establishing data quality, testing, validation, and monitoring frameworks
The J.M. Smucker Co. Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about The J.M. Smucker Co. and has not been reviewed or approved by The J.M. Smucker Co..
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Retirement Support — Retirement programs are described as strong, with a company 401(k) match, immediate vesting in some materials, and access to an Employee Stock Purchase Plan. These elements contribute to a favorable view of total compensation value.
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Parental & Family Support — Paid parental leave for all parents and on-site childcare at key locations signal a family-forward approach. Additional supports such as adoption assistance and pet-related leave reinforce this emphasis.
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Leave & Time Off Breadth — Paid time off, seasonal compressed schedules, and flexibility options are highlighted across materials. The ability to start with substantial PTO and buy additional time enhances perceived time-off breadth.
The J.M. Smucker Co. Insights
What We Do
Each generation of consumers leaves their mark on culture by establishing new expectations for food and the companies that make it. At The J.M. Smucker Co., it is our privilege to be at the heart of this dynamic with a portfolio that appeals to each generation of people and pets with products found in 90 percent of U.S. homes and countless restaurants. This includes a mix of iconic brands consumers have always loved such as Folgers®, Jif® and Milk-Bone® and new favorites like Café Bustelo®, Smucker’s® Uncrustables® and Rachael Ray® Nutrish®. By continuing to immerse ourselves in consumer and pet parent preferences for food, how it’s purchased and how the companies that make it should operate, we will maintain the important role we play in their lives. This will allow us to continue growing our business and the positive impact we have on all of those who count on us.
