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Data Optimization Jobs in Ohio (NOW HIRING)

Lead Data Engineer

Columbus, OH · On-site

$60 - $68/hr

This position primarily leads the building, managing, and optimizing data pipelines and then moving these data pipelines effectively into production for key data and analytics consumers like business ...

Lead Data Engineer

Columbus, OH · On-site

$60 - $68/hr

This position primarily leads the building, managing, and optimizing data pipelines and then moving these data pipelines effectively into production for key data and analytics consumers like business ...

We are looking for an SEO Director who can translate complex SEO performance and data into clear, compelling business insights for executive-level clients and stakeholders. In this role, youll lead ...

We are looking for an SEO Director who can translate complex SEO performance and data into clear, compelling business insights for executive-level clients and stakeholders. In this role, you'll lead ...

SUMMARY The Business Systems Analyst is responsible for supporting and administering transfer agent system functions, with an emphasis on data optimization, reporting, and process improvement. This ...

Data Engineer

Cincinnati, OH

$109K - $131K/yr

Create and maintain optimal data pipeline architecture * Assemble large, complex data sets that meet functional / non-functional business requirements * Identify, design, and implement internal ...

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Data Optimization information

What are some typical challenges faced in a Data Optimization role?

Professionals in Data Optimization often encounter challenges such as working with incomplete or inconsistent datasets, integrating data from multiple sources, and ensuring data quality and accuracy throughout the optimization process. Balancing technical efficiency with business objectives and communicating complex analytical findings in easily understandable ways can also be demanding. Collaboration with cross-functional teams is frequent, requiring both strong technical and interpersonal skills. Overcoming these challenges helps ensure that optimization projects deliver meaningful value and measurable impact for the organization.

What is a Data Optimization job?

A Data Optimization job involves improving the efficiency, accuracy, and accessibility of data within an organization. Professionals in this role analyze large datasets, refine data structures, and implement strategies to enhance data processing and storage. They work with data engineers, analysts, and business teams to ensure data supports performance goals and decision-making. Common tasks include cleaning data, reducing redundancies, and optimizing database queries.

What are the key skills and qualifications needed to thrive in the Data Optimization position, and why are they important?

To thrive in Data Optimization, you need strong analytical skills, expertise in data modeling, and a solid foundation in statistics or mathematics, usually supported by a relevant degree. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau, as well as certifications in data analytics or optimization software, is highly beneficial. Effective communication, problem-solving abilities, and a collaborative mindset are key soft skills for this role. These competencies are crucial for translating complex data into actionable insights that drive business efficiency and performance improvements.

What are the most commonly searched types of Data Optimization jobs in Ohio? The most popular types of Data Optimization jobs in Ohio are:
What are popular job titles related to Data Optimization jobs in Ohio? For Data Optimization jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Optimization jobs in Ohio look for? The top searched job categories for Data Optimization jobs in Ohio are:
What cities in Ohio are hiring for Data Optimization jobs? Cities in Ohio with the most Data Optimization job openings:
Infographic showing various Data Optimization job openings in Ohio as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Data Architect Senior or Data Architect Lead

Data Architect Senior or Data Architect Lead

Federal Reserve Bank of Cleveland

Cleveland, OH • On-site

$65 - $87.25/hr

Full-time

Re-posted 15 days ago


Job description

Job Summary:
Federal Reserve Bank of Cleveland is committed to fostering the stability and efficiency of the nation's financial systems. They are seeking a Senior Data Architect or Data Architect Lead to lead design and architecture decisions for complex product development initiatives, focusing on modernizing data analytics assets and transitioning to cloud-native designs.
Responsibilities:
• Accountable for selecting design patterns, technologies, and solution architectures for product development projects by analyzing business, technical, and enterprise requirements to ensure alignment with organizational objectives and industry best practices.
• Engages with business areas, clients, and stakeholders as a trusted consultant to identify gaps, present solution options, and recommend optimal technologies; documents architecture decisions and technical standards to support knowledge sharing.
• Champions complex, strategic enterprise solutions by communicating architecture decisions and technical concepts effectively across all organizational levels, from technical teams to senior management.
• Refines and supports a portfolio-wide data optimization strategy to further align existing assets to the new, cloud-native architecture.
• Collaborates with cross-functional teams throughout the full development lifecycle, including ideation, development, integration, testing, and production support.
• Researches and evaluates emerging technologies and industry trends; develops strategic recommendations for architecture investments that reduce cost, increase security, eliminate redundancies, and improve system flexibility.
• Builds and maintains strategic relationships with key technology vendors and business partners to stay current on industry developments and enterprise architecture landscape shifts.
• Owns the data infrastructure strategy and roadmap; assesses current state, identifies gaps, and drives architectural initiatives and monitoring solutions from planning through implementation.
• Establishes, enforces, and evolves data governance policies, quality frameworks, and compliance practices to ensure data integrity, security, accuracy, and regulatory adherence across critical systems.
• Collaborates with data stewards, compliance teams, and technical leads to translate governance and regulatory requirements into technical controls, validation rules, access policies, and audit mechanisms.
• Assists in establishing a flexible and valuable portfolio-level data catalog that will drive transparency and promote reusability.
Qualifications:
Required:
• Candidates must be a U.S. citizen.
• Bachelor’s degree and 5 years of professional work experience or Master’s degree and 3 years of professional work experience for Data Architect Senior.
• Bachelor’s degree and 7 years of related work experience or Master’s degree and 5 years of related work experience for Data Architect Lead.
• Proven track record of designing and implementing complex, production-grade systems.
• Experience working in collaborative, cross-functional environments.
• Deep experience designing distributed systems, microservices, API architectures, and cloud-native applications.
• Understanding of payment systems, regulatory requirements, and banking technology landscape.
• Expertise in web, mobile, and backend architectures with strong grasp of scalability, security, and performance patterns.
• Hands-on experience with cloud platforms (e.g., AWS), containerization, CI/CD (e.g., GitLab), and infrastructure-as-code (e.g., CDK or Terraform).
• Proficiency in data modeling, integration patterns, and database technologies (relational and NoSQL).
• Working knowledge of TOGAF, C4, AWS Well-Architected Framework or similar architecture analysis and documentation approaches.
Company:
The Federal Reserve Bank of Cleveland was established in 1914 as a part of the Federal Reserve System Founded in 1914, the company is headquartered in Cleveland, USA, with a team of 501-1000 employees. The company is currently Late Stage.