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Databricks Software Jobs in Ohio (NOW HIRING)

Aimpoint Digital

$97.20K - $128K/yr

Strong experience in data engineering, AI engineering, platform engineering, solution architecture, or enterprise software development * Hands-on experience with Databricks, Spark, Delta Lake ...

SmartIPlace

QA/SDET (Azure Databricks)

Cincinnati, OH · On-site

$55 - $60/hr

Hands-on experience with data lake validation, Databricks automation, and reporting tool testing. * Strong background in data validation, functional testing of Databricks transformations, and ...

Purple Drive Technologies

Sr Data Engineer

Columbus, OH · On-site

$110.60K - $132.80K/yr

Python, Databricks Must have databricks, Python, PySpark, CICD experience 3-5 years' experience with data management, best practices and software development. Experience in Data Warehousing, data ...

ITHAKA

Senior Software Engineer

Continental, OH · On-site +1

$112.24K - $140.30K/yr

Right now, we use technologies including AWS, Kubernetes, Java, Python, Databricks and GitHub/GitLab. * Own the end-to-end software development lifecycle, from ideation through production. Partner ...

IRIS Software, Inc.

$102.10K - $122.70K/yr

Experience with Snowflake, Databricks, Spark, Kafka, or Kinesis. * Exposure to banking or regulated enterprise Thanks and Regards, Raghav Ranjan Iris Software Royal Bank Plaza - North Tower 200 Bay ...

Honeywell

Sr Advanced Cloud Developer

Mason, OH · On-site

$56.50 - $73.25/hr

... software or cloud engineering experience. * Strong expertise in cloud-native development on Azure, AWS, or GCP. * Deep experience with Databricks, Apache Spark, Delta Lake, and large-scale data ...

Aimpoint Digital

$116.10K - $153.10K/yr

Expertise in software engineering concepts and best practices * DevOps experience preferred * Experience working with cloud data warehouses (Databricks, Snowflake, Google BigQuery, AWS Redshift ...

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Databricks Software information

What are the key skills and qualifications needed to thrive as a Databricks Software Engineer, and why are they important?

To thrive as a Databricks Software Engineer, you need strong programming skills in languages like Python, Scala, or Java, as well as a solid understanding of distributed computing and data engineering concepts. Familiarity with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valued. Excellent problem-solving abilities, collaboration, and effective communication are important soft skills for this role. These skills ensure efficient development, deployment, and optimization of big data solutions that drive business insights and innovation.

What are some common challenges faced by Databricks Software Engineers, and how can they be overcome?

Databricks Software Engineers often encounter challenges related to scaling big data pipelines, optimizing Spark workloads, and integrating diverse data sources. Navigating the complexity of distributed systems and managing cloud infrastructure can be demanding, especially when ensuring data reliability and security. To overcome these challenges, engineers typically collaborate closely with data scientists, DevOps, and platform teams, leverage Databricks' extensive documentation and community support, and adopt best practices such as version control and continuous integration. Regular knowledge sharing and staying updated with new features also help engineers succeed in this dynamic environment.

What is Databricks Software?

Databricks Software is a unified analytics platform built on Apache Spark that provides tools for big data processing, machine learning, and collaborative data science. It enables organizations to store, manage, and analyze large datasets efficiently, supporting both batch and streaming data workloads. Databricks also offers collaborative notebooks, automated workflows, and integrations with cloud storage and data lakes, making it a popular choice for data engineering, data science, and business analytics teams.

What is the difference between Databricks Software vs Data Engineer?

AspectDatabricks SoftwareData Engineer
Primary RolePlatform for data analytics and machine learningBuilds, maintains data pipelines and infrastructure
Required SkillsSQL, Spark, cloud platforms, data science basicsSQL, ETL, programming (Python, Scala), database management
Work EnvironmentCloud-based, collaborative data platformData teams, cloud or on-premises environments
CertificationsDatabricks certifications, cloud certificationsNone specific, often cloud or data certifications

While Databricks Software provides a platform for data analytics and machine learning, Data Engineers focus on building and maintaining data pipelines and infrastructure. Both roles often work together but have distinct responsibilities and skill sets within the data ecosystem.

What are popular job titles related to Databricks Software jobs in Ohio? For Databricks Software jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Databricks Software jobs in Ohio look for? The top searched job categories for Databricks Software jobs in Ohio are:
What cities in Ohio are hiring for Databricks Software jobs? Cities in Ohio with the most Databricks Software job openings:
Databricks Software jobs near you

Lead Forward Deployed Engineer, Databricks 2026- US, UK

Aimpoint Digital

On-site, Remote

$97.20K - $128K/yr

Full-time

Posted 17 days ago

Job description

Aimpoint Digital is a market-leading data, AI, and operations research advisory and solution engineering firm. We help organizations build modern data platforms, enterprise AI systems, decision intelligence solutions, optimization models, and production analytics capabilities.
We are one of the strongest technical partners in the Databricks ecosystem, with deep expertise across platform engineering, data engineering, AI engineering, MLOps, operations research, and applied analytics. Our teams help clients move beyond platform implementation into real business transformation.
As Databricks continues to become a core enterprise AI platform, we are hiring Forward Deployed Engineers who can help clients design and deploy AI-native solutions on Databricks that create measurable business impact.
About the Role
As a Lead Forward Deployed Engineer - Databricks, you will work directly with clients to design, build, and operationalize AI and data solutions on the Databricks platform.
This role is for someone who can operate at the edge of the customer environment: understanding the business problem, assessing the data and platform architecture, designing the right technical path, and building production-grade solutions using Databricks capabilities.
You will work across modern data engineering, AI engineering, agentic workflows, semantic analytics, Lakehouse architecture, Databricks Apps, Lakebase, Genie, Mosaic AI, model serving, and production deployment patterns.
The role requires a builder's mindset, strong client presence, and the ability to turn ambiguous business needs into deployed technical solutions.
What You Will Do
  • Work directly with business and technical stakeholders to identify high-value data and AI use cases that can be delivered on Databricks
  • Design, build, and deploy production-grade data and AI solutions using Databricks capabilities across the Lakehouse, Mosaic AI, Unity Catalog, Databricks SQL, Workflows, Delta Lake, Databricks Apps, Genie, Agents, and Lakebase
  • Lead client discovery sessions to understand business workflows, data availability, platform maturity, integration needs, and measurable success criteria
  • Architect AI-native data platforms that support agentic workflows, semantic analytics, model deployment, retrieval systems, optimization models, and operational applications
  • Build Genie rooms, semantic layers using Metric Views, decision-support applications, data products, AI applications, and agent memory architectures that help clients operationalize insight and action
  • Partner with data engineering, AI engineering, analytics, business, security, and governance stakeholders to design secure, scalable, production-ready solutions
  • Create prototypes, demos, technical reference architectures, and reusable accelerators that showcase the value of Databricks for enterprise AI and analytics workloads
  • Help clients modernize data pipelines, improve platform architecture, implement governance patterns, and deploy AI systems into operational workflows
  • Work with Aimpoint Digital's alliance, sales, and delivery teams to shape Databricks-led opportunities and translate client needs into winning solution approaches
  • Develop thought leadership, solution accelerators, demos, and internal enablement materials that strengthen Aimpoint Digital's Databricks practice

What We Are Looking For
  • Strong experience in data engineering, AI engineering, platform engineering, solution architecture, or enterprise software development
  • Hands-on experience with Databricks, Spark, Delta Lake, Lakehouse architecture, data pipelines, model deployment, or modern data platform patterns
  • Strong Python and SQL skills. Experience with PySpark, MLflow, Databricks Workflows, Unity Catalog, Databricks SQL, or similar tooling is strongly preferred
  • Familiarity with enterprise AI patterns such as RAG, agents, model serving, vector search, semantic layers, data applications, evaluation frameworks, and governance
  • Ability to work directly with clients, understand ambiguous business needs, and translate them into technical architecture and implementation plans
  • Strong communication skills with the ability to engage executives, business leaders, architects, data engineers, ML engineers, and analytics teams
  • Comfort moving from strategy to architecture to hands-on development
  • A practical understanding of what it takes to move from demo to production in complex enterprise environments

Preferred Qualifications
  • Databricks certification or deep hands-on delivery experience in the Databricks ecosystem
  • Experience building Databricks Apps, Genie rooms, Lakebase-backed applications, Mosaic AI workflows, feature pipelines, MLflow deployments, vector search systems, or agentic solutions
  • Experience with cloud platforms such as AWS, Azure, or GCP
  • Experience in consulting, forward deployed engineering, solution architecture, field engineering, technical pre-sales, or client-facing delivery
  • Experience designing governed data products, semantic models, operational analytics applications, or AI/ML systems
  • Familiarity with industry use cases in retail and CPG, manufacturing, supply chain, energy, AI infrastructure, or private equity
  • Ability to create technical architecture diagrams, delivery roadmaps, demos, sales enablement assets, and reusable solution accelerators

Questions You Will Help Clients Answer
  • How do we turn Databricks into an enterprise AI platform rather than just a data platform?
  • Which business workflows can be improved using Genie, Agents, Lakebase, Databricks Apps, or Mosaic AI?
  • How should we structure our Lakehouse architecture to support AI-native applications?
  • How do we build reliable agent memory, governed data products, semantic analytics, and production AI applications on Databricks?
  • How do we move from migration and platform setup into measurable business outcomes?
  • How do we design data and AI systems that are secure, governed, scalable, and operationally useful?

Why This Role Matters
The future of the Databricks partner ecosystem will not be won by firms giving away generic offshore services. It will be won by partners who can help clients identify the right business problems, architect the right platform patterns, and build production AI and data systems that executives can trust. Aimpoint Digital is building that model.
As a Lead Forward Deployed Engineer focused on Databricks, you will help clients move beyond implementation and into transformation, leveraging Databricks as the foundation for building, deploying, and governing enterprise AI at scale.
We are actively seeking candidates for full-time, remote work within the US or UK. Atlanta and London based applicants will have the opportunity to work in our regional offices.

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