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Databricks Solutions Architect Jobs (NOW HIRING)

Onebridge

Databricks Resident Solution Architect

$64.50 - $85/hr

Databricks Resident Solution Architect | About You As a Databricks Resident Solution Architect, you are a senior, hands-on architect responsible for designing, guiding, and operationalizing modern ...

Tech Tammina

Databricks Lead/Architecture

$56.50 - $77.50/hr

Architect data ingestion, curation, storage, and governance frameworks. * Ensure the platform is ... Work with enterprise architects to align Databricks solutions with the overall cloud strategy (AWS)

Edgewater Federal Solutions, Inc.

Solutions Architect 4

$64.50 - $85/hr

Overview Edgewater Federal Solutions is seeking a Solutions Architect 4 to support a major national ... Advise on the Databricks reference architecture covering Lakeflow, Delta Lake, Unity Catalog Mosaic ...

ACI Infotech

Data Solutions Architect

Databricks; Python; SQL and Azure cloud JD: Required Skills & Qualifications: * Bachelor's or Master's degree in related field. * Experience in data engineering or architecture roles, with working ...

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Databricks Solutions Architect information

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How much do databricks solutions architect jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for databricks solutions architect in the United States is $70.17, according to ZipRecruiter salary data. Most workers in this role earn between $60.58 and $79.81 per hour, depending on experience, location, and employer.

What are Databricks Solutions Architects?

Databricks Solutions Architects are technical experts who help organizations design, implement, and optimize data and AI solutions using Databricks' unified analytics platform. They work closely with clients to understand their business needs, recommend best practices, and ensure successful adoption of Databricks technologies. Their responsibilities include architecting scalable data pipelines, enabling machine learning workflows, and providing guidance on cloud infrastructure and security. By bridging the gap between technical teams and business stakeholders, they help drive innovation and maximize the value of data-driven initiatives.

What are some common challenges faced by Databricks Solutions Architects when implementing large-scale data solutions for clients?

Databricks Solutions Architects often encounter challenges such as integrating Databricks with clients' existing data infrastructure, ensuring data security and compliance, and optimizing performance for large-scale data workloads. They must work closely with data engineers, data scientists, and IT teams to align technical solutions with business requirements and address potential bottlenecks. Additionally, Solutions Architects are responsible for guiding clients through best practices in Spark optimization and cost management, which requires strong communication and project management skills.

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

To thrive as a Databricks Solutions Architect, you need expertise in big data platforms, cloud architecture, and data engineering, often supported by a degree in computer science and relevant cloud certifications. Proficiency with Databricks, Apache Spark, SQL, Python, and cloud services such as AWS, Azure, or GCP is crucial. Strong communication, problem-solving, and stakeholder management skills help translate business needs into technical solutions and foster collaboration. These skills ensure the effective design and implementation of scalable data solutions, maximizing business value from advanced analytics platforms.

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

AspectDatabricks Solutions ArchitectData Engineer
Primary FocusDesigning and implementing data solutions on Databricks platformBuilding, maintaining, and optimizing data pipelines and infrastructure
Skills & CertificationsDatabricks certifications, cloud platform knowledge, data architectureSQL, ETL, cloud services, programming skills (Python, Spark)
Work EnvironmentCollaborates with data teams, architects solutions, client-facingDevelops data pipelines, manages data storage, backend tasks

While both roles work with data and cloud platforms, a Databricks Solutions Architect focuses on designing and implementing solutions on Databricks, often working closely with clients. A Data Engineer primarily builds and maintains data pipelines and infrastructure. Both roles require similar certifications and cloud knowledge, but their day-to-day tasks and focus areas differ.

Infographic showing various Databricks Solutions Architect job openings in the United States as of July 2026, with employment types broken down into 5% Locum Tenens, 91% Full Time, 1% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $145,963 per year, or $70.2 per hour.
Databricks Resident Solution Architect

Databricks Resident Solution Architect

Onebridge

Remote

$64.50 - $85/hr

Full-time

Re-posted 4 days ago

Job description

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, we have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe. We have an exciting opportunity for a highly skilled Databricks Resident Solution Architect to join our innovative and dynamic team.
Databricks Resident Solution Architect | About You
As a Databricks Resident Solution Architect, you are a senior, hands-on architect responsible for designing, guiding, and operationalizing modern cloud data platforms built on the Databricks Lakehouse. You bring deep expertise in Databricks, Spark, and large-scale data engineering, and you are comfortable operating within complex, regulated enterprise environments. You thrive in resident architect engagements, working closely with client stakeholders to establish strong architectural foundations, governance standards, and long-term platform strategies. You excel at translating business objectives into secure, scalable technical designs and guiding teams through platform adoption, analytics enablement, and AI readiness. You are confident in acting as a technical authority while collaborating effectively across business and engineering teams.
Databricks Resident Solution Architect | Day-to-Day
  • Architect and guide implementation of Databricks-based data platforms, leveraging Lakehouse and Medallion architecture best practices.
  • Provide hands-on technical leadership across data engineering, analytics, and AI-enabled use cases using Databricks.
  • Define and enforce data governance, security, and access control standards using Databricks Unity Catalog and enterprise data management principles.
  • Enable and support AI/ML workloads, including ML pipelines and model lifecycle integration within the Databricks ecosystem.
  • Optimize platform performance, scalability, and cost efficiency with a FinOps-oriented mindset.
  • Collaborate closely with business leaders, architects, and engineering teams to align platform capabilities with enterprise data and analytics needs.
  • Serve as a resident technical authority, providing architectural guidance, mentoring teams, and ensuring solution quality and consistency.

Databricks Resident Solution Architect | Skills & Experience
  • 10+ years of overall experience in data engineering, data architecture, or analytics engineering roles.
  • 5+ years of hands-on experience with Databricks, including Delta Lake, Unity Catalog, Workflows/Jobs, and Lakehouse architecture.
  • Databricks Professional Certification (MANDATORY).
  • Strong expertise in Apache Spark (PySpark preferred), Python, and advanced SQL.
  • Proven experience designing and implementing production-grade, large-scale data pipelines.
  • Hands-on experience with at least one major cloud platform (Azure preferred, AWS or GCP acceptable).
  • Experience with data modeling, Medallion architecture, and enterprise data platform design.
  • Familiarity with CI/CD pipelines, infrastructure automation tools (e.g., Terraform), and Agile delivery practices.
  • Strong communication and stakeholder-facing skills, with experience operating in regulated enterprise environments.

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