ZipRecruiter

Log In

1

Data Platform Manager Jobs in Ohio (NOW HIRING)

ALLOBAAS

Data Engineering Lead

Lakewood, OH

Oversee table structures, role and permission management, performance tuning, cost optimization, capacity planning, and platform configuration standards. * Provide leadership for Data Warehouse ...

AlloBaas

Data Engineering Lead

Lakewood, OH · On-site

Oversee table structures, role and permission management, performance tuning, cost optimization, capacity planning, and platform configuration standards. * Provide leadership for Data Warehouse ...

FMHC

AlloBaas - Data Engineering Lead

Lakewood, OH

Oversee table structures, role and permission management, performance tuning, cost optimization, capacity planning, and platform configuration standards. * Provide leadership for Data Warehouse ...

FMHC

AlloBaas - Data Engineering Lead

Lakewood, OH

Oversee table structures, role and permission management, performance tuning, cost optimization, capacity planning, and platform configuration standards. * Provide leadership for Data Warehouse ...

84.51°

Data Architect (P4642)

Cincinnati, OH · On-site

$61.25 - $78.75/hr

Partner with Data Scientists, ML Engineers, Product Managers, and Engineering teams to ensure the data platform strategy delivers against requirements, scope, and timelines. * Assess current state ...

previous page

Showing results 41-60

All JobsData Platform JobsData Platform Manager JobsData Platform Manager Jobs in Ohio

Data Platform Manager information

See Ohio salary details

$29.5K

$92.4K

$163.5K

How much do data platform manager jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data platform manager in Ohio is $92,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,700.00 and $119,300.00 per year, depending on experience, location, and employer.

Are data platform managers in demand?

Data platform managers are in high demand due to the increasing reliance on data-driven decision-making and digital transformation across industries. They typically require strong technical skills in data architecture, cloud platforms, and analytics tools, and often see competitive job growth and salary prospects.

What is the difference between Data Platform Manager vs Data Engineer?

AspectData Platform ManagerData Engineer
Primary FocusOversees data platform strategy, architecture, and team managementBuilds, develops, and maintains data pipelines and infrastructure
Required SkillsData architecture, leadership, project managementProgramming, ETL development, database management
CertificationsCloud certifications (AWS, Azure), data management certificationsSQL, cloud platform certifications, programming certifications
Work EnvironmentCollaborates with data teams, IT, and business unitsHands-on technical work in data engineering teams

The Data Platform Manager focuses on overseeing the data platform's overall strategy and managing teams, while the Data Engineer is responsible for the technical development and maintenance of data pipelines. Both roles require technical skills and certifications, but the manager role emphasizes leadership and strategic planning, whereas the engineer role emphasizes technical execution.

How much do data platform managers make?

Data platform managers typically earn a median annual salary between $100,000 and $150,000, depending on experience, location, and company size. They often require skills in cloud platforms, data architecture, and leadership, with higher salaries for those with advanced certifications or extensive experience.

What are some common challenges faced by data platform managers when aligning data strategy with evolving business needs?

Data Platform Managers often face the challenge of ensuring that the data infrastructure can adapt quickly to shifting business priorities and emerging technologies. Balancing the needs of various stakeholders—such as data analysts, engineers, and business leaders—while maintaining data quality, security, and scalability requires strong communication and project management skills. Additionally, keeping the platform up-to-date with new tools and compliance requirements, while managing resource constraints, is a recurring aspect of the role. Successfully navigating these challenges helps the business leverage data as a strategic asset.

What are the key skills and qualifications needed to thrive as a data platform manager?

To thrive as a Data Platform Manager, you need expertise in data architecture, database management, and analytics, typically supported by a degree in computer science or a related field. Familiarity with data warehousing tools, cloud platforms (such as AWS, Azure, or Google Cloud), and certifications like AWS Certified Data Analytics are commonly required. Strong leadership, problem-solving skills, and effective communication enable you to manage teams and coordinate with stakeholders. These skills ensure robust, scalable data infrastructures that support business intelligence and strategic decision-making.

What is a data platform manager?

A Data Platform Manager is a professional responsible for overseeing the development, maintenance, and operation of an organization's data infrastructure. They manage data storage, processing, and integration solutions to ensure data is accessible, secure, and reliable for business needs. Their role often involves collaborating with data engineers, analysts, and IT teams to implement best practices and support data-driven decision-making. Additionally, they may oversee cloud data platforms, manage data governance, and ensure compliance with data privacy regulations.
What are the most commonly searched types of Data Platform jobs in Ohio? The most popular types of Data Platform jobs in Ohio are:
What are popular job titles related to Data Platform Manager jobs in Ohio? For Data Platform Manager jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Platform Manager jobs in Ohio look for? The top searched job categories for Data Platform Manager jobs in Ohio are:
What cities in Ohio are hiring for Data Platform Manager jobs? Cities in Ohio with the most Data Platform Manager job openings:
Data Platform Manager jobs near you
Infographic showing various Data Platform Manager job openings in Ohio as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $92,355 per year, or $44.4 per hour.

Dataiku Platform engineer

Javen Technologies, Inc

Cincinnati, OH • On-site

Other

Posted 16 days ago

Job description

Seeking  to fill in a Dataiku platform developer   with banking domain for  immediate    onsite  w2  contract opportunity with  my direct client in Cincinnati OH.

If interested , share your word document resume, work authorization, expected hourly pay rate,  current location, availability for onsite  work as per need , skill stack and LinkedIn.

Reach me for more details. thanks.

Relocate on own expenses.

If not, Appreciate any referrals.

looking for Dataiku administration or platform exp . interview 2 rounds, 1 with Resource Manager (Teams), 1 with team onsite

TECHNICAL SKILLS

Must Have

  • Dataiku DSS, Python, SQL, Linux/Unix
  • Snowflake,terraform,GitHub,REST API''''s
  • DBT,AWS

Dataiku Platform

JOB DESCRIPTION

We are seeking a Data Platform Engineer to lead the architectural hardening and enterprise integration of Dataiku within our modern data stack (Snowflake, DBT, AWS). This is not a traditional data science role; you will be the primary architect responsible for building the governance-as-code layer that allows non-technical users (e.g., Finance) to innovate safely. Your mission is to bridge the gap between rapid prototyping and production-grade engineering by implementing automated project standards, data quality gates, and secure tokenization patterns.

Key Responsibilities

• Platform Hardening: Design and implement Dataiku Project Standards to act as a linter for production readiness, ensuring all projects meet naming, metadata, and security requirements.

• Governance Automation: Develop custom Dataiku plugins and API integrations to automate Tier 1 & Tier 2 Data Quality checks, blocking promotion to production if standards are not met.

• Secure Architecture: Partner with Information Security to integrate Fortanix tokenization and field-level encryption directly into Dataiku visual recipes and Python code-based workflows.

• Hybrid Integration: Build and maintain the Promotion Path where ad-hoc Dataiku prototypes are hardened and, where necessary, refactored into DBT for long-term enterprise use.

• Operational Excellence: Integrate Dataiku monitoring with ServiceNow to automate incident creation for pipeline failures or data quality drift.

• User Enablement: Serve as the technical Steward for non-technical business units, providing them with approved templates and secure data products in the Data Exchange.

Apply