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Data Platform Engineer Jobs in Ohio (NOW HIRING)

$75 - $110/hr

Als Data Engineer entwickelst und betreibst Du gemeinsam mit unserem Team die technische Basis ... Du entwickelst unsere Enterprise Data Platform auf Basis der Data-Vault-Methodik kontinuierlich ...

This role is in the Data Technology organization, leading a team of platform engineers focused on strategically migrating data assets to the cloud. The ideal candidate will work closely with the ...

ComResource is looking for a Platform Engineer. Responsibilities: * Evaluate, design, and implement ... and Swap Data Repository (SDR) lines of business. * Liaise with software vendors for systems ...

... data replication architectures. • Develop automation solutions that improve reliability ... AI Platform Engineering, Infrastructure Engineering, MLOps, DevOps, or Cloud Engineering. • ...

Job Title: Platform Engineer III Location: Remote USA TOP SKILLS: comprehensive vulnerability ... data technology (Kafka, Hadoop, Spark, etc) • Work with Data Scientists to develop rich value ...

Kubernetes Platform Engineer**Location:** Beavercreek, OH/Wright-Patterson AFB (Onsite)**Clearance ... Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ...

$130 - $170/hr

Develop reliable pipelines for data preparation, training, evaluation, model release, and continuous improvement * Build platforms and tooling that enable AI engineers and researchers to experiment ...

$120 - $180/hr

Develop reliable pipelines for data preparation, training, evaluation, model release, and continuous improvement * Build platforms and tooling that enable AI engineers and researchers to experiment ...

Showing results 21-40

Data Platform Engineer information

See Ohio salary details

$42.3K

$123.3K

$168.7K

How much do data platform engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data platform engineer in Ohio is $123,321.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $130,700.00 per year, depending on experience, location, and employer.

What is a data platform engineer?

A Data Platform Engineer designs, builds, and maintains scalable data infrastructure to support analytics, machine learning, and business intelligence. They work with data pipelines, databases, and cloud technologies to ensure efficient data storage, processing, and retrieval. Their role involves optimizing performance, ensuring data security, and enabling reliable data access for engineers and analysts.

What are some typical challenges a data platform engineer may encounter in their day-to-day work?

Data Platform Engineers often navigate challenges such as ensuring high data availability, optimizing system performance, and maintaining data security in evolving cloud or hybrid environments. They frequently address issues related to scaling infrastructure to handle growing data volumes, integrating legacy systems, and automating data pipelines. Collaboration with data scientists, analysts, and software engineers is essential to ensure data solutions meet business requirements. Adapting swiftly to new technologies and troubleshooting complex issues are key parts of the role, making it both dynamic and rewarding for those who enjoy problem-solving.

What are the key skills and qualifications needed to thrive in the data platform engineer position, and why are they important?

To thrive as a Data Platform Engineer, you need a solid understanding of database architectures, data modeling, ETL processes, and programming languages such as SQL, Python, or Scala, often supported by a degree in computer science or a related field. Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud), big data tools (like Hadoop, Spark), and certifications like AWS Certified Data Analytics or Google Professional Data Engineer are highly valued. Strong problem-solving skills, effective communication, and an ability to work collaboratively within cross-functional teams distinguish top candidates. These skills ensure that data systems are reliable, scalable, and aligned with organizational goals, enabling informed decision-making and innovation.

What are the most commonly searched types of Data Platform Engineer jobs in Ohio?

The most popular types of Data Platform Engineer jobs in Ohio are:

What cities in Ohio are hiring for Data Platform Engineer jobs?

Cities in Ohio with the most Data Platform Engineer job openings:

Infographic showing various Data Platform Engineer job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $123,321 per year, or $59.3 per hour.

Principal Enterprise Data Platform Architect

Avery Dennison

Mentor, OH • On-site, Remote

$141K - $211K/yr

Full-time

Medical, Retirement, PTO

Posted 6 days ago


Avery Dennison rating

9.1

Company rating: 9.1 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

2nd of 121 rated packaging manufacturers


Job description

Company Description
Why join Avery Dennison
We are a global materials science and digital identification solutions company with locations in over 50 countries, and approximately 35,000 employees worldwide. As a science and innovation company, we believe that diverse teams are stronger teams. We are committed to fostering a culture of curiosity and courage, where you can grow your career with a company that has innovation in its DNA. Founded on creating real-world impact to enable a better future, we strive to provide an open, collaborative culture where diversity of thought is encouraged and respected. Hear from our employees about what it's like working at Avery Dennison. Learn more at www.averydennison.com.
Benefits
At Avery Dennison, some of the great benefits we provide are:
  • Inclusive Healthcare: Access to our large network of medical and behavioral health professionals.
  • 401(k) Retirement Plan: Avery Dennison supports your retirement readiness financially through company contributions to the 401(k) Plan. You receive an automatic contribution of 3% of eligible pay (even if you contribute $0) plus a matching contribution of 50% on the first 7% of eligible pay you contribute.
  • Medical Insurance: Avery Dennison offers healthcare and insurance options to support you and your family based on your personal needs.
  • Paid Time Off: We offer a generous vacation program that varies based upon your experience and position within Avery Dennison.

Job Description
About the role
As the Principal Enterprise Data Platform Architect, you will serve as the technical lead and pillar head for Data Platform Engineering within the Data Excellence & AI Foundations organization. Reporting directly to the Director of Data Excellence & AI Foundations, you will be responsible for defining, architecting, and evolving Avery Dennison's enterprise 10-Layer Data & AI Operating System. In this role, you will lead the technical transition from legacy ETL pipelines toward a modern, high-code Platform Engineering practice grounded in GitOps, Data-as-Code, declarative management, and automated metadata control planes while mentoring and elevating internal engineering talent.
Key Responsibilities
Position Location: Remote
  • Own the global architecture blueprint and technology decision trees for Avery Dennison's enterprise analytical and AI platforms, architecting the 10-Layer Modern Data Operating System across multi-cloud environments (OCI, GCP, Azure).
  • Architect and deploy the centralized Metadata Control Plane and automated Data Catalog, coordinating schema tracking, lineage graphs, data quality observability, GitOps methodologies, reusable developer toolboxes, and context-as-code for LLM reasoning.
  • Design and govern enterprise AI infrastructure standards, including Vector Databases, Knowledge Graphs, Feature Stores, and RAG pipelines for corporate Gemini LLM solutions and autonomous AI agents with deterministic verification mechanisms.
  • Design and enforce the Universal Security Model incorporating Attribute-Based Access Control (ABAC), fine-grained masking, and Okta/Active Directory identity integration, while implementing SRE-style observability for platform health, latency, query performance, and compute costs.
  • Serve as Pillar Lead for the Data Platform Engineering squad, guiding and mentoring technical talent across pipeline, data, analytics, AI/LLM, DevOps, and APEX engineering while partnering with HR on technical career progression tracks and competency matrices.

Qualifications
Qualifications
  • Master's or Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related quantitative field with 10+ years in enterprise data architecture, platform engineering, or cloud infrastructure design (including 3+ years leading technical teams in a global enterprise context).
  • Expert technical proficiency in multi-cloud environments (OCI, GCP, Azure), Oracle ADW (23c/26ai), Databricks, and Apache Iceberg or Delta Lake table formats.
  • High-code data engineering mastery in Python, SQL, Apache Airflow, Kafka/Confluent streaming, Change Data Capture (CDC / GoldenGate), Docker, Kubernetes, Terraform, and GitOps CI/CD deployment pipelines (GitHub Actions/GitLab CI).
  • Direct experience architecting enterprise AI/ML infrastructure, including Vector DBs, Knowledge Graphs, Feature Stores, RAG pipelines, and enterprise LLM integrations (Gemini).
  • Strong strategic leadership and communication skills with a proven track record of mentoring technical talent, establishing Universal Security Models (ABAC, RLS, Okta/AD), and presenting complex architectural blueprints to executive sponsors (VP/CIO).

Additional Information
Pay Transparency
The salary range for this position is $141,825 - $211,792 / year.
The hiring base salary range above represents what Avery Dennison reasonably expects to pay for this position as of the date of this posting. Actual salaries will vary within the range, and in some circumstances may be above or below the range, based on various factors including but not limited to a candidate's relevant skills, experience, education and training, and location, as well as the job scope and complexity, responsibilities, and regular and/or necessary travel required for the position, which may change depending on the candidate pool. Avery Dennison reserves the right to modify this information at any time, subject to applicable law.
Equal Opportunity Employer
Avery Dennison is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status, or any other protected status.
Reasonable Accommodations Notice
If you require accommodations to view or apply for a job, alternative methods are available to submit an application. Please contact (440) 534-6000 or NA.TA.Operations@averydennison.com to discuss reasonable accommodations.
Identity Verification Notice
To maintain the integrity of our hiring process and protect our candidates from identity fraud, we require video and/or in-person interviews. As part of this verification, we may also ask you to take a brief photo. This image is used exclusively to ensure identity consistency and will be permanently deleted once the hiring process concludes.
Pre-employment Screening Notice
As part of our commitment to maintaining a safe and productive work environment, Avery Dennison requires all final candidates to successfully complete a comprehensive background check and a drug screening. These checks are conducted post-offer and are a condition of employment. All results will be considered in accordance with applicable local, state, and federal laws.
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