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Databricks Solutions Architect Jobs (NOW HIRING)

Wavicle Data Solutions

Databricks Solutions Architect

$64.50 - $85/hr

They are seeking a Databricks Solutions Architect to lead the design and implementation of optimized solutions, engage with customers, and provide technical leadership in leveraging Databricks for ...

Wavicle Data Solutions

Databricks Solutions Architect

$64.50 - $85/hr

THE OPPORTUNITY Wavicle Data Solutions is hiring a Databricks Solution Architect, who will be responsible for leading design and implementation of scalable and optimized solutions that leverage the ...

ECS

Sr. Databricks Solutions Architect

Huntsville, AL · On-site

Everforth ECS is seeking a Sr. Databricks Solutions Architect to join our team in Huntsville, Alabama . This position is contingent upon contract award. ECS is seeking a skilled Sr. Databricks ...

Sarian, Inc.

Azure Databricks Architect

Atlanta, GA · On-site

$61 - $79.50/hr

Proven experience as a Data Architect or similar role with extensive experience in designing and implementing solutions on Azure Databricks. Technical Skills: * Proficiency with Azure Databricks ...

SARIAN Co

Azure Databricks Architect

Atlanta, GA · On-site

$61 - $79.50/hr

Proven experience as a Data Architect or similar role with extensive experience in designing and implementing solutions on Azure Databricks. Technical Skills: * Proficiency with Azure Databricks ...

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All JobsDatabricks Solutions Architect Jobs

Databricks Solutions Architect information

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$70

$95

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 Solutions Architect

Databricks Solutions Architect

Wavicle Data Solutions

Remote

$64.50 - $85/hr

Full-time

Re-posted 11 days ago

Job description

Job Summary:
Wavicle Data Solutions is a high-growth consulting firm focused on cloud, data, and AI solutions. They are seeking a Databricks Solutions Architect to lead the design and implementation of optimized solutions, engage with customers, and provide technical leadership in leveraging Databricks for analytics and machine learning workloads.
Responsibilities:
• Solution Design: Develop data architecture solutions and reference architectures for customers using Databricks.
• Customer Engagement: Work closely with clients to understand their business goals and technical needs, ensuring optimal use of the Databricks platform.
• Pre-Sales Support: Provide technical expertise during the pre-sales process, conducting workshops and proof-of-concept (POC) projects.
• Technical Leadership: Lead complex projects involving Databricks integration with cloud environments such as AWS, Azure, or GCP.
• Performance Optimization: Help customers optimize performance for large-scale data processing, streaming, and machine learning workflows on Databricks.
• Training and Mentorship: Guide customers and internal teams on best practices in data engineering, machine learning, and AI using Databricks.
• Collaboration: Work cross-functionally with engineering, product, and sales teams to deliver successful implementations.
• Market Strategy: Help the company identify market needs, define a Go To Market strategy, and execute on that strategy.
Qualifications:
Required:
• 10+ years of experience in data engineering, data architecture, or related fields.
• Hands-on experience with Databricks is a must.
• Proficiency in cloud platforms (AWS, Azure, GCP), with strong knowledge of cloud-native technologies and services.
• Expertise in Python, Scala, and SQL for large-scale data processing.
• Experience in designing and implementing data pipelines, ETL processes, Dev/Ops, Security/Ops and data lakes.
• Familiarity with ML workflows and libraries such as TensorFlow, PyTorch, and scikit-learn.
• Strong experience with big data tools like Apache Spark, Hadoop, and Delta Lake.
• Excellent communication and interpersonal skills to effectively engage with both technical and non-technical stakeholders.
Preferred:
• Databricks certifications or cloud certifications (AWS Certified Solutions Architect, Microsoft Azure Solutions Architect Expert, etc.).
• Knowledge of data governance, security practices, and compliance in the cloud environment.
Company:
Wavicle offers Rapid Delivery Data and Analytics Solutions that reduce the time, cost and risk of data and analytics projects Founded in 2013, the company is headquartered in Chicago, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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