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Data Optimisation Jobs in Ohio (NOW HIRING)

Strong SQL skills -- this role requires someone who is highly comfortable writing, reading, troubleshooting, and optimizing SQL. * Experience with data movement, ETL processes, data transformations ...

New

Data Scientist

Aurora, OH · On-site

$90 - $120/hr

Develop and maintain analytical models that support demand forecasting, capacity planning, and inventory optimization. * Analyze sales, production, and supply chain data to identify trends, risks ...

New

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 ...

Responsibilities : • Build scalable, data-driven tools and analytics solutions that address real client challenges. • Apply optimization, forecasting, machine learning, and predictive analytics ...

Data Engineer

Cincinnati, OH · On-site

$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 ...

Data Scientist

Cincinnati, OH · On-site

$85K - $122K/yr

As a Data Scientist in our organization, you will play a crucial role in disrupting current ... Utilizing your expertise in Operations Research (including optimization and simulation) and machine ...

As a Data Scientist in our organization, you will play a crucial role in disrupting current ... Utilizing your expertise in Operations Research (including optimization and simulation) and machine ...

The ideal candidate will have a robust mix of technical and communication skills, with a passion for optimization, data storytelling, and data visualization. You will collaborate with a centralized ...

A Brief Overview The Lead Data Scientist serves as a technical leader responsible for developing ... This position plays a critical role in pricing optimization, experimentation strategy, and ...

Lead Data Scientist

Columbus, OH · On-site

$100 - $130/hr

A Brief Overview The Lead Data Scientist serves as a technical leader responsible for developing ... This position plays a critical role in pricing optimization, experimentation strategy, and ...

New

Lead and assist in administration, optimization, and operational oversight of Snowflake and related cloud data platforms. * Oversee table structures, role and permission management, performance ...

This position is essential for maintaining daily data center operations, enhancing operational efficiency, strengthening security measures, and optimizing system workflows through automation and ...

Lead and assist in administration, optimization, and operational oversight of Snowflake and related cloud data platforms. * Oversee table structures, role and permission management, performance ...

This position is essential for maintaining daily data center operations, enhancing operational efficiency, strengthening security measures, and optimizing system workflows through automation and ...

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Data Optimisation information

What are the most common challenges faced in a data optimisation role, and how can I prepare for them?

One of the main challenges in a Data Optimisation role is dealing with large, complex datasets that may have inconsistencies or missing information. You’ll often need to balance improving data quality with maintaining data integrity and system performance. Collaborating across departments, such as IT, analytics, and business operations, is typical, so strong communication skills are essential. Preparing by learning best practices in data cleaning, ETL processes, and familiarizing yourself with relevant tools will help you succeed and adapt quickly.

What are the key skills and qualifications needed to thrive as a data optimisation specialist?

To thrive as a Data Optimisation Specialist, you need strong analytical skills, proficiency in data analysis, and a background in statistics or computer science, often supported by relevant degrees or certifications. Familiarity with data management tools like SQL, Python, Excel, and optimisation platforms such as Google Analytics or Tableau is typically required. Excellent problem-solving abilities, attention to detail, and effective communication are essential soft skills for translating insights into actionable strategies. These skills ensure that data-driven decisions are accurate, impactful, and aligned with business objectives.

What are data optimisation jobs?

Data optimisation jobs involve analyzing and improving data quality, structure, and efficiency to support better decision-making and operational performance. These roles often require skills in data analysis, database management, and tools like SQL or data visualization software, with a focus on enhancing data accuracy and accessibility.

What is data optimisation?

Data optimisation refers to the process of improving the quality, accessibility, and efficiency of data within an organization. It involves cleaning, structuring, and organizing data so that it can be used more effectively for analysis, decision-making, and business operations. Data optimisation can help reduce storage costs, enhance system performance, and ensure that accurate and relevant data is available when needed. This process often includes data deduplication, compression, and the implementation of best practices for data management.

What is the difference between Data Optimisation vs Data Analysis?

AspectData OptimisationData Analysis
Primary FocusImproving data processes and system efficiencyInterpreting data to uncover insights
Skills RequiredData management, process improvement, technical skillsStatistical analysis, reporting, critical thinking
Work EnvironmentIT teams, data engineering, system optimizationBusiness units, research teams, analytics departments
CertificationsData management, database certificationsData analysis, statistical certifications

Data Optimisation focuses on enhancing data systems and processes for efficiency, while Data Analysis involves examining data to generate insights. Both roles require strong technical skills, but their objectives differ: one improves data infrastructure, the other interprets data for decision-making.

What are popular job titles related to Data Optimisation jobs in Ohio? For Data Optimisation jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Optimisation jobs in Ohio look for? The top searched job categories for Data Optimisation jobs in Ohio are:
Infographic showing various Data Optimisation job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Architect Senior or Data Architect Lead

Federal Reserve Bank of Richmond

Cleveland, OH • On-site

$65.25 - $87.25/hr

Full-time

Re-posted 5 days ago


Job description

CompanyFederal Reserve Bank of ClevelandThe Federal Reserve Bank of Cleveland's mission is to foster the stability, integrity, and efficiency of the nation's monetary, financial, and payment systems while representing the Fourth District perspectives.
As part of the nation's central bank, we are a team of mission-driven professionals who are committed to serving with excellence. Our core values are: Build Trust Every Day, Own Our Actions, Collaborate with Intention, and Be Open to Change.
For twenty-six years in a row, we've been named "One of Northeast Ohio's Best Places to Work" by North Coast 99. This prestigious award honors organizations with outstanding employment practices, including compensation, benefits, training, recruitment, retention, community services, and employee communications.
Follow us on LinkedIn, Twitter, Instagram, and our YouTube channel - Cleveland Fed

To be considered for this role, candidates must be a U.S. citizen.

As a Senior Data Architect or Data Architect Lead, you will lead design pattern/technology selection and architecture decisions for complex product development initiatives, which will include modernization efforts for several important data analytics assets. These modernization projects will include the transition from legacy, on-premises architectures to a more modern, cloud-native design. You will serve as the technical authority who ensures solutions meet business objectives while maintaining alignment with enterprise architecture standards, security requirements, and scalability needs. This role requires both deep technical expertise and the ability to influence stakeholders across all levels of the organization.

Essential Responsibilities

  • Accountable for selecting design patterns, technologies, and solution architecturesfor 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 consultantto identify gaps, present solution options, and recommend optimal technologies; documents architecture decisions and technical standards to support knowledge sharing.

  • Champions complex, strategic enterprise solutionsby 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 teamsthroughout 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 relationshipswith 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 leadsto 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.

Technical Expertise

  • Enterprise & Solutions Architecture: Deep experience designing distributed systems, microservices, API architectures, and cloud-native applications

  • Financial Services Technology: Understanding of payment systems, regulatory requirements, and banking technology landscape

  • Modern Application Development: Expertise in web, mobile, and backend architectures with strong grasp of scalability, security, and performance patterns

  • Cloud & Infrastructure: Hands-on experience with cloud platforms (e.g., AWS), containerization, CI/CD (e.g., GitLab), and infrastructure-as-code (e.g., CDK or Terraform)

  • Data Architecture: Proficiency in data modeling, integration patterns, and database technologies (relational and NoSQL)

  • Architecture Frameworks: Working knowledge of TOGAF, C4, AWS Well-Architected Framework or similar architecture analysis and documentation approaches

Education and Experience - Data Architect Senior

  • Bachelor's degree and 5 years of professional work experience or

  • Master's degree and 3 years of professional work experience

  • Proven track record of designing and implementing complex, production-grade systems

  • Experience working in collaborative, cross-functional environments

Education and Experience - Data Architect Lead

  • Bachelor's degree and 7 years of related work experience OR

  • Master's degree and 5 years of related work experience

  • Proven track record of designing and implementing complex, production-grade systems

  • Experience working in collaborative, cross-functional environments

The expected starting salary range for the Data Architect Senior is between $111,400 and $153,100 annually. Final salary and offer will be determined by the applicant's background, experience, skills, internal equity, and market data.

The Cleveland Fed offers benefits to support overall health and financial security. Learn more about our benefits here: https://www.clevelandfed.org/careers

Physical Demands and General Working Conditions

This is not necessarily an exhaustive list of all responsibilities, duties, standards or requirements, efforts, skills or working conditions associated with the job. While this is intended to be an accurate reflection of the current job, the Federal Reserve Bank of Cleveland reserves the right to revise this or any job description at any time.

Reasonable Accommodation Statement -The Federal Reserve Bank of Cleveland is committed to ensuring that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. To request a reasonable accommodation for any part of the employment process, please send an email toclev.4d.benefits.specialist@clev.frb.org.

Bank's Ethics Rules and Drug Testing:

As a condition of employment, Federal Reserve Bank of Cleveland employees must comply with the Bank's ethics rules which generally prohibit employees, their spouses/domestic partners, and minor children from owning or controlling, directly or indirectly, any debt or equity interest in a depository institution or an affiliate of a depository institution. A "depository institution" means a bank, a trust company, or any institution that accepts deposits, including a bank chartered under the laws of a foreign country. In addition, employees (and their spouses/domestic partners, and minor children) may not own shares of mutual funds, unit investment trusts or ETFs that have a policy, as stated in the prospectus, of concentrating in the financial services industry and that have underlying investments in banks or other depository institutions. If you or your spouse/domestic partner or minor child own such securities and would not be willing or able to divest them if you accepted an offer of Bank employment, you should raise this issue with the recruiter for this posting.

In addition, as a condition of employment, candidates must undergo a background check and will be tested for all controlled substances prohibited by federal law, to include marijuana, prior to hire and for certain safety sensitive positions during employment.

Always verify and apply to jobs on Federal Reserve System Careersor through verified Federal Reserve Bank social media channels

Full Time / Part TimeFull timeRegular / TemporaryRegularJob Exempt (Yes / No)YesJob CategoryInformation Technology Family GroupWork ShiftFirst (United States of America)

The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.

Always verify and apply to jobs on Federal Reserve System Careers (https://rb.wd5.myworkdayjobs.com/FRS) or through verified Federal Reserve Bank social media channels.

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