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Data Engineer Architect Jobs in Ohio (NOW HIRING)

84.51°

Data Architect

Cincinnati, OH · On-site

$61.25 - $78.75/hr

Data Architect Cincinnati, OH; Chicago, IL 84.51° is a retail data science, insights and media ... As a senior individual contributor, you will partner closely with engineering, product, experience ...

TriOptus LLC

Snowflake Data Engineer

Cincinnati, OH · On-site

Snowflake Architect / Snowflake Administrator / Data Platform Architect (W2 Contract) Location ... Snowflake Engineering experience. * Experience within Financial Services, Banking, or Capital ...

CYNET SYSTEMS

Data Engineer

Mason, OH · On-site

$55 - $60/hr

Proficiency in SQL and one programming language (Python / PySpark preferred). * Experience in ETL ... Collaborate with data analysts, architects, and business stakeholders to gather data requirements ...

ALLOBAAS

Data Engineering Lead

Lakewood, OH · On-site

This role provides day-to-day technical direction to Data Engineer I and Data Engineer II roles ... Maintain and communicate enterprise data architecture documentation, including data flows, system ...

AlloBaas

Data Engineering Lead

Lakewood, OH · On-site

This role provides day-to-day technical direction to Data Engineer I and Data Engineer II roles ... Maintain and communicate enterprise data architecture documentation, including data flows, system ...

Huntington

Data Engineer

Columbus, OH · On-site +1

$63K - $124K/yr

In partnership with Solutions Architecture, provide recommendations or develop solutions and ... Ability to engineer data solutions using ETL tools or develop APIs as needed. * Bachelor's Degree ...

LDSS Corp

Data Engineer

Dayton, OH · On-site

$120K - $135K/yr

AWS Certified Solutions Architect * Databricks Certified Data Engineer * U.S federal government security clearance Benefits * 401(k) * 401(k) matching * Dental insurance * Flexible spending account

Huntington

Data Engineer

Columbus, OH · On-site +1

$63K - $124K/yr

In partnership with Solutions Architecture, provide recommendations or develop solutions and ... Ability to engineer data solutions using ETL tools or develop APIs as needed. Bachelor's Degree or ...

Huntington

Data Engineer

Columbus, OH · On-site +1

$63K - $124K/yr

In partnership with Solutions Architecture, provide recommendations or develop solutions and ... Ability to engineer data solutions using ETL tools or develop APIs as needed. * Bachelor's Degree ...

Apex Systems

Data Engineer

Columbus, OH · On-site

$40 - $55/hr

Job#: 3043889 Data Engineer Location: Columbus, OH (Onsite) Pay: $40-$55/hr Role Overview A ... Familiarity with data architecture concepts from ingestion through storage and retrieval.

New

FMHC

AlloBaas - Data Engineering Lead

Lakewood, OH · On-site

This role provides day-to-day technical direction to Data Engineer I and Data Engineer II roles ... Maintain and communicate enterprise data architecture documentation, including data flows, system ...

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Showing results 41-60

All JobsData Engineer Architect JobsData Engineer Architect Jobs in Ohio

Data Engineer Architect information

See Ohio salary details

$43.7K

$156.9K

$231.5K

How much do data engineer architect jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data engineer architect in Ohio is $156,882.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,900.00 and $161,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data engineer architect, and why are they important?

To thrive as a Data Engineer Architect, you need expertise in data modeling, ETL processes, big data platforms, and a strong background in computer science or a related field. Proficiency with tools and systems such as Hadoop, Spark, SQL/NoSQL databases, and cloud platforms like AWS or Azure, along with relevant certifications, is highly valued. Strong problem-solving, communication, and project management skills distinguish top performers in this role. These capabilities are crucial for designing scalable, reliable data architectures that support business analytics and decision-making.

What is the difference between Data Engineer Architect vs Data Engineer?

AspectData Engineer ArchitectData Engineer
CredentialsBachelor's/Master's in CS, certifications like AWS, GCP, or AzureBachelor's in CS, certifications like AWS, GCP, or Azure
Work EnvironmentDesigns data infrastructure, collaborates with architects and stakeholdersBuilds and maintains data pipelines, works with data storage and processing
Employer & Industry UsageUsed in organizations with complex data architecture needsCommon across industries for data processing tasks

The main difference is that Data Engineer Architects focus on designing and planning the overall data infrastructure, while Data Engineers implement and maintain the pipelines and systems. Architects have a broader strategic role, whereas Engineers focus on execution and operational tasks.

How does a data engineer architect typically collaborate with data scientists and business analysts on large-scale projects?

A Data Engineer Architect plays a pivotal role in facilitating collaboration between data scientists, business analysts, and other stakeholders by designing robust data pipelines and scalable architectures that ensure reliable, timely access to data. They often gather requirements, translate business needs into technical solutions, and oversee the integration of diverse data sources. Regular communication and joint planning sessions help align the data infrastructure with analytical goals, making teamwork and cross-functional coordination essential aspects of the role. This collaborative environment fosters innovative problem-solving and ensures that the data architecture supports both immediate project needs and long-term business objectives.

What is a data engineer architect?

A Data Engineer Architect is a professional responsible for designing, building, and maintaining the architecture that allows organizations to collect, store, process, and analyze large volumes of data. They create scalable and reliable data pipelines, choose appropriate technologies, and ensure that data systems meet business requirements for performance and security. Data Engineer Architects often collaborate with data scientists, analysts, and other engineers to optimize data workflows and support decision-making processes. Their expertise is crucial for organizations looking to leverage big data and advanced analytics.
What cities in Ohio are hiring for Data Engineer Architect jobs? Cities in Ohio with the most Data Engineer Architect job openings:
Data Engineer Architect jobs near you

Data Architect / Principal Data Engineer III - US Citizen and GC Candidates only - NO C2C.

Hudson Manpower

Cincinnati, OH • On-site

$55 - $60/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago

Job description

Greetings,
We're looking for a senior-level Data Engineer with expertise in DBT, Snowflake, and SQL to design and deliver scalable data solutions in a high-impact banking environment.
Data Architect / Principal Data Engineer III
Location: Cincinnati, OH - Onsite
US Citizen and GC Candidates only.
Payrate $55/hr on W2 Plus Benefits.
TOP SKILLS:
Must Have
DBT
Snowflake
SQL
What You'll Do
GENERAL FUNCTION:
The data engineer designs and builds platforms, tools, and solutions that help the bank manage, secure, and generate value from its data. The person in this role creates scalable and reusable solutions for gathering, collecting, storing, processing, and serving data on both small and very large (i.e. Big Data) scales. These solutions can include on-premise and cloud-based data platforms, and solutions in any of the following domains ETL, business intelligence, analytics, search, messaging, data warehousing, stream processing, and machine learning.
Responsible and accountable for risk by openly exchanging ideas and opinions, elevating concerns, and personally following policies and procedures as defined. Accountable for always doing the right thing for customers and colleagues, and ensures that actions and behaviors drive a positive customer experience. While operating within the Bank's risk appetite, achieves results by consistently identifying, assessing, managing, monitoring, and reporting risks of all types.
ESSENTIAL DUTIES & RESPONSIBILITIES:
  • Responsible for design, Development, and Support of data solutions, APIs, tools, and processes to enable rapid delivery of business capabilities.
  • Work closely with IT application teams, Enterprise architecture, infrastructure, information security, and LOB stakeholders to translate business and technical strategies into data-driven solutions for the Bank.
  • Act as a technical Expert addressing problems related to system and application design, performance, integration, security, etc.
  • Conduct research and Development based on current trends and technologies related to the banking industry, data engineering and architecture, data security, and related topics.
  • Work with developers to Build CI/CD pipelines, Self-service Build tools, and automated deployment processes.
  • Evaluate software products and Provide documented recommendations as needed.
  • Provide Support and troubleshooting for data platforms. Must be willing to Provide escalated on-call Support for complicated and/or critical incidents.
  • Participate in the planning process for hardware and software.
  • Plan and work on internal projects as needed, including legacy system replacement, Monitoring and analytics improvements, tool Development, and technical documentation.
  • Provide technical guidance and mentoring for other team members.
  • Manage and prioritize multiple assignments.

What You'll Get:
Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance provided
401(k) with a company match and optional profit sharing
Paid vacation time
Paid Bench time
Training allowance offering
You'll be eligible to earn referral bonuses!
SUPERVISORY RESPONSIBILITIES: None.
MINIMUM KNOWLEDGE, SKILLS AND ABILITIES REQUIRED:
  • Bachelor's degree in Computer Science/Information Systems or equivalent combination of education and experience.
  • Must be able to communicate ideas both verbally and in writing to management, business and IT sponsors, and technical resources in language that is appropriate for each group.
  • Seven+ years IT work experience relevant to the position.
  • Working knowledge of application and data security concepts, best practices, and common vulnerabilities.
  • Experience in one or more of the following disciplines preferred: big data technologies and distributions, metadata management products, commercial ETL tools, Bi and reporting tools, messaging systems, data warehousing, Java (language and run time environment), major version control systems, continuous integration/delivery tools, infrastructure automation and virtualization tools, major cloud, or rest API design and development.
  • Previous experience working with offshore teams desired.
  • Financial industry experience is a plus.

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