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Databricks Architect Jobs in Ohio (NOW HIRING)

Immuta

Resident Solution Architect (US)

Columbus, OH · On-site

$170K - $203K/yr

Technology partners include Snowflake, Databricks, AWS, Azure, Google Cloud, and Starburst ... Architect and implement secure, scalable data access and governance solutions tailored to customer ...

Immuta

Resident Solution Architect (US)

Columbus, OH

$170K - $203K/yr

Technology partners include Snowflake, Databricks, AWS, Azure, Google Cloud, and Starburst. Immuta ... Architect and implement secure, scalable data access and governance solutions tailored to customer ...

Immuta

Resident Solution Architect (US)

Columbus, OH · On-site

$170K - $203K/yr

Lead investors include NightDragon, Snowflake, and Databricks, along with additional funding from ... Architect and implement secure, scalable data access and governance solutions tailored to customer ...

iSpace, Inc

Senior Data Architect

Marysville, OH · On-site

$61.75 - $82.75/hr

Senior Data Architect Location: Marysville, Ohio (Onsite: 4 days/week or 80% or more) Contract ... Databricks) * Experience with various database platforms, including DB2, MS SQL Server, PostgreSQL ...

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Databricks Architect information

What is the difference between Databricks Architect vs Data Engineer?

AspectDatabricks ArchitectData Engineer
Primary FocusDesigning and implementing data solutions on Databricks platformBuilding, maintaining, and optimizing data pipelines and infrastructure
Skills & CertificationsDatabricks certifications, Spark, cloud platforms (AWS, Azure), SQLSQL, ETL tools, cloud platforms, programming (Python, Scala)
Work EnvironmentData platforms, cloud environments, collaboration with data teamsData pipelines, databases, cloud infrastructure, scripting

While both roles work with data and cloud platforms, a Databricks Architect primarily focuses on designing and implementing data solutions using Databricks, whereas a Data Engineer builds and maintains the data pipelines and infrastructure that support these solutions. The Architect often oversees the technical design, while the Engineer handles the day-to-day pipeline development.

What are the key skills and qualifications needed to thrive as a Databricks Architect?

To thrive as a Databricks Architect, you need strong expertise in big data engineering, cloud platforms (such as Azure or AWS), distributed computing, and proficiency in languages like Python or Scala, typically supported by a relevant degree and cloud certifications. Familiarity with Databricks Workspace, Apache Spark, Delta Lake, and CI/CD tools is crucial for designing and implementing scalable data solutions. Excellent problem-solving, communication, and project management skills set top performers apart by enabling effective collaboration and solution delivery. These competencies are essential for architecting reliable, high-performance data platforms that drive business insights and innovation.

What are some common challenges Databricks Architects face when designing large-scale data solutions?

Databricks Architects often encounter challenges such as optimizing cluster performance for cost and efficiency, ensuring data security and compliance across distributed environments, and integrating Databricks with legacy systems or diverse data sources. They must carefully design data pipelines and workflows to handle large volumes of data without bottlenecks, and also collaborate closely with data engineers, data scientists, and IT teams to align on best practices. Staying updated with evolving Databricks features and cloud platform updates is also essential for success in this dynamic role.

What is a Databricks Architect?

A Databricks Architect is an IT professional who designs, implements, and manages data solutions using the Databricks platform, which is built on Apache Spark. They are responsible for creating scalable data pipelines, optimizing data workflows, and ensuring security and compliance within the cloud environment. Databricks Architects often work closely with data engineers, data scientists, and business stakeholders to deliver robust analytics solutions that drive business insights. Their expertise helps organizations leverage big data technologies efficiently and effectively.
What are the most commonly searched types of Databricks Architect jobs in Ohio? The most popular types of Databricks Architect jobs in Ohio are:
What are popular job titles related to Databricks Architect jobs in Ohio? For Databricks Architect jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Databricks Architect jobs in Ohio look for? The top searched job categories for Databricks Architect jobs in Ohio are:
What cities in Ohio are hiring for Databricks Architect jobs? Cities in Ohio with the most Databricks Architect job openings:
Databricks Architect jobs near you
Infographic showing various Databricks Architect job openings in Ohio as of August 2026, with employment types broken down into 89% Full Time, 1% Part Time, and 10% Contract. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution.

Azure Data Architect

Tata Consultancy Service Limited

Dublin, OH • On-site

$140K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago

Job description

Must Have Technical/Functional Skills
Data Architect Azure (Healthcare Preferred)
We are seeking a seasoned Data Architect to design, evaluate, and guide modern data architectures across our analytics ecosystem. This role will partner closely with business and technical teams to ensure scalable, high-quality, and future-ready data solutions.
Required Skills
• Strong experience with Azure data tools (e.g., Azure Data Factory, Fabric, Synapse, Databricks, ADLS)
• Proven ability to evaluate and recommend architecture solutions
• Solid understanding of data modeling, pipelines, and cloud architecture principles
Preferred
• Experience in Healthcare (highly preferred), Oncology (nice to have).
Roles & Responsibilities
Key Responsibilities
• Design and review end-to-end data architecture using Azure data platforms
• Provide recommendations on best practices, tools, and architectural patterns
• Ensure data solutions are scalable, secure, and aligned with business needs
• Collaborate with engineering and analytics teams to guide implementation
• Identify opportunities to optimize performance, data quality, and cost
Salary Range: $140,000- $150,000 a year
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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