Data Engineering Manager Jobs in Ohio
Data Engineering Manager jobs in Ohio are in active demand, concentrated in financial services, healthcare, retail technology, and manufacturing analytics, with openings at every level from team lead through senior director of data engineering. Columbus, Cleveland, and Cincinnati account for the largest share of hiring, anchored by employers such as JPMorgan Chase, Nationwide Insurance, and Kroger Technology. The most sought-after specialties in Ohio are cloud data platform management, real-time pipeline architecture, and analytics engineering leadership. Find a role that fits below and apply directly.
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A senior Microsoft-focused consulting role spanning discovery, architecture, engineering, governance, and client enablement.
~ Client-Facing (Discovery/Architecture/Delivery)
~ Microsoft Cloud (Azure & Microsoft Fabric)
~ Data Engineering (Trusted Data Foundations for Analytics & AI)
Interlink Cloud Advisors is looking for a Senior Data & AI Engineering Consultant to help clients build modern, scalable data platforms on Microsoft Azure and Microsoft Fabric. In this client-facing role, you'll lead discovery, design pragmatic architectures, and deliver end-to-end solutions that turn raw data into trusted, analytics-ready datasets for BI, reporting, advanced analytics, and AI use cases. You'll work across Fabric (OneLake, Lakehouse, Warehouse) and Azure data services to ensure solutions are secure, governed, maintainable, cost-conscious, and operationally ready.
WHAT YOU'LL DO
- Lead client discovery to understand business goals, the data landscape, constraints, and success metrics, then translate findings into a clear delivery plan.
- Design and recommend data lake, lakehouse, data warehouse, and analytical data store architectures on Azure and Microsoft Fabric aligned to client needs.
- Implement, or guide implementation of, ingestion, transformation, and orchestration pipelines using Microsoft Fabric experiences and Azure services such as Data Factory, Synapse, and Databricks.
- Integrate data from operational systems, APIs, and third-party sources and transform raw data into curated datasets ready for consumption.
- Build and maintain analytics-ready data models and schemas; implement enrichment, business rules, and reusable patterns for consistency across projects.
- Enable multiple compute engines - SQL, Spark/PySpark, Spark SQL, and KQL - against shared datasets to support diverse analytics scenarios.
- Prepare governed data products and reusable datasets for BI, advanced analytics, and AI use cases, including retrieval-ready data patterns when relevant.
- Establish data quality practices, including validation, reconciliation, testing, and monitoring; troubleshoot failures and continuously improve pipeline resiliency.
- Optimize transformations, query performance, and pipeline execution to meet client service level and cost objectives.
- Implement logging, metrics, and operational runbooks, and support deployments, cutovers, and hypercare as needed.
- Design and implement security, governance, and compliance controls, including access, least privilege, data protection, and lineage across Azure and Fabric.
- Facilitate workshops and communicate architecture tradeoffs, partnering with client stakeholders, architects, analysts, and BI developers to deliver trusted datasets.
- Produce clear consulting deliverables, including design documents, diagrams, implementation guides, and enablement materials, to support adoption and a smooth handoff.
Required Qualifications
- Experience designing and delivering modern analytics platforms using lakehouse and/or data warehouse patterns on Azure and/or Microsoft Fabric, including client-facing delivery.
- Strong SQL skills with experience building transformations and dimensional or analytical models.
- Hands-on experience with Spark (PySpark/Spark SQL) and/or KQL for data engineering and analytics workloads.
- Experience applying software engineering practices to data solutions, including modular design, source control, automated testing, code review, and technical documentation.
- Experience building reliable data pipelines, including orchestration, scheduling, error handling, and automated monitoring.
- Knowledge of data quality practices, including validation, reconciliation, testing, incident triage, and root-cause analysis.
- Working knowledge of Power BI, including semantic modeling concepts, to support end-to-end analytics delivery; Power Apps experience is a plus.
- Understanding of security and governance concepts for data platforms, including access controls, least privilege, compliance, and lineage.
- Strong communication skills, with the ability to present recommendations, align stakeholders, and manage expectations in a client environment.
Preferred Qualifications
- Direct experience with Microsoft Fabric components - OneLake, Lakehouse, Warehouse, Data Factory in Fabric, and Real-Time Analytics/KQL databases - including platform administration, capacity planning, and standards.
- Experience with Azure services commonly used in data platforms, such as Azure Data Factory, Synapse, Databricks, ADLS Gen2, and Key Vault.
- Working knowledge of Azure architecture fundamentals across identity, networking, storage, monitoring, resiliency, and cost management.
- Familiarity with AI-enablement patterns - such as preparing governed enterprise data for Azure AI Search or Microsoft Foundry, retrieval-augmented generation, or agent-based solutions—is valued. Deep agent application development experience is not required.
- Experience implementing CI/CD and Infrastructure as Code, including environment strategy and release management for data solutions.
- Familiarity with semantic modeling and BI enablement patterns, including Power BI datasets, self-service analytics, and governance guardrails.
- Current Microsoft certifications relevant to the role are valued, especially Microsoft Certified: Fabric Data Engineer Associate (DP-700), Microsoft Certified: Power BI Data Analyst Associate (PL-300), and, for broader architecture responsibilities, Microsoft Certified: Azure Solutions Architect Expert (AZ-305). Equivalent current Microsoft credentials and experience mentoring or enabling client teams are also welcome.
About Us
Interlink is a nationally recognized IT consultancy, offering the flexibility of a small company while providing stability and benefits usually found at enterprise firms. We work with a "family first" attitude, so we look to hire motivated individuals who understand that getting work done while having fun is important. As the winner of The Best Places to Work Award for five consecutive years, we know what it takes to care for our employees and clients.
Interlink Advantage
We are the premier Microsoft Cloud consulting company based in Mason, OH. We are a team of trusted experts who know how to navigate the intricacies of Microsoft's technologies, guiding and educating clients to avoid overspending on tech licenses while optimizing their tools. At Interlink, we believe working in an innovative, fun, and collaborative environment is key to success. Get to know us and our company culture more at: http://www.interlink.com/about-us/company-culture.
Interlink Cloud Advisors is an equal-opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.
See All 31 Data Engineering Manager Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find Data Engineering Manager JobsData Engineering Manager Jobs by City in Ohio
Where Ohio roles are concentrated, by current openings.
Data Engineering Manager Job Market in Ohio
A snapshot from current Ohio openings, updated as new roles post.
Who's Hiring
- Amazon13

- JPMorganChase4

- Medical Mutual of Ohio2

- Meta1

- Google1

Top Industries Hiring
- Technology & Software
- Retail
- E-Commerce & Online Marketplaces
What Ohio Employers Look For
The qualifications that appear most often in data engineering manager jobs across Ohio.
- Bachelor's or master's degree in computer science, data engineering, or a related technical field
- Five or more years of data engineering experience, including at least two in a lead or management role
- Hands-on expertise with cloud data platforms such as AWS, Azure, or Google Cloud
- Proven ability to design and maintain large-scale ETL and ELT pipelines in production environments
- Experience managing and mentoring cross-functional data engineering teams in agile settings
- Proficiency with modern data stack tools including dbt, Spark, Airflow, Kafka, or Databricks
Data Engineering Manager Jobs in Ohio: Frequently Asked Questions
How do you become a data engineering manager in Ohio?
The typical path into a data engineering manager role in Ohio starts with several years as a data or software engineer, followed by a progression into senior individual contributor work and then team leadership. Ohio does not require a state-issued license for this role. Most hiring managers in Columbus, Cleveland, and Cincinnati expect a bachelor's degree in computer science or a related field, strong cloud and pipeline credentials, and demonstrated experience leading technical teams on enterprise data projects.
Which companies hire data engineering managers in Ohio?
Employers hiring data engineering managers in Ohio right now include Amazon, JPMorganChase, and Medical Mutual of Ohio, based on current listings on Migrate Mate as of November 2026. Ohio's concentration of Fortune 500 financial services, insurance, and retail technology headquarters makes it one of the more consistent markets in the Midwest for senior data engineering leadership roles.
Which Ohio cities have the most data engineering manager jobs?
Columbus, Cincinnati, and Cleveland have the most data engineering manager openings in Ohio. Columbus drives the largest share, fueled by its dense cluster of insurance, fintech, and retail technology headquarters, while Cleveland's healthcare and banking sector and Cincinnati's consumer goods and logistics employers generate steady demand for data engineering leadership across the state.
Are there remote data engineering manager jobs in Ohio?
Yes, and more than most fields. About 50% of data engineering manager openings tied to Ohio are remote or hybrid as of November 2026, reflecting how thoroughly this role operates in cloud and distributed tool environments. The most remote-friendly portions of the work involve pipeline design, architecture reviews, and team standups, while on-site presence is most common during stakeholder planning cycles or major platform migrations.
How can I get hired as a data engineering manager in Ohio with little or no experience?
The most realistic entry path is moving into a senior data engineer or tech lead role first, then stepping into management once you have demonstrated ownership of a pipeline or platform initiative. Large Ohio employers such as Nationwide, Progressive, and Kroger Technology run structured technical development programs and often promote from within. Building a portfolio of end-to-end data projects, earning a cloud certification such as AWS Certified Data Engineer or Google Professional Data Engineer, and targeting associate data engineering roles at Ohio-based mid-size companies are the most concrete steps toward the manager track.
Where can I find and apply to data engineering manager jobs in Ohio?
You can find and apply to data engineering manager jobs in Ohio on Migrate Mate, which lists current openings across Columbus, Cleveland, Cincinnati, and elsewhere in the state. Find roles that fit your experience and apply directly from the listing.
See All 31 Data Engineering Manager Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find Data Engineering Manager Jobs