Databricks Solution Architect

Job Title: Databricks Solution Architect
Location: Dallas, Texas
Type: Direct Hire
Work Model: Hybrid – onsite and remote

Overview
We are seeking a strategic Databricks Solutions Architect to lead the design and implementation of modern data and AI solutions for our enterprise clients.
This is a technical leadership role responsible for translating complex customer requirements into scalable Databricks-based architectures, driving pre-sales proposals, and building high-performing technical teams. You will work with clients, sales teams, and delivery organizations to architect solutions that leverage the full Databricks platform, including Lakehouse, Unity Catalog, AI/ML tools, and data governance capabilities.
The ideal candidate brings deep expertise with the Databricks platform, 10+ years of experience with data platform technologies, and a proven track record architecting and delivering enterprise data solutions.
This position is located in our Dallas, TX office; however, a hybrid working model is acceptable

Responsibilities

• Lead the design and implementation of modern data and AI solutions leveraging the Databricks platform for enterprise clients.
• Conduct current state assessments of customer data environments and deliver future state architecture recommendations.
• Design enterprise-grade data solutions covering ingestion, transformation, governance, analytics, and AI/ML workloads.
• Create detailed technical specifications, architecture diagrams, and implementation roadmaps for complex engagements.
• Lead technical discovery sessions with prospects, understanding data infrastructure and strategic priorities.
• Author technical sections of proposals, RFPs, and SOWs that articulate solutions and value propositions.
• Deliver technical presentations and proof of concept demonstrations to executive and technical audiences.
• Build and mentor high performing technical teams of data engineers, analysts, and junior architects.
• Lead solution delivery from kickoff through deployment, ensuring quality, schedule, and customer satisfaction.
• Establish technical standards, best practices, and governance for Databricks implementations.
• Drive adoption of Databricks AI tools and architect governance and security solutions.
• Guide customers on best practices for optimization, cost management, and performance tuning.
• Stay current on Databricks roadmap and emerging capabilities, translating innovations into customer opportunities.

Requirements

• 3+ years of hands on experience with Databricks platform, including Lakehouse, Unity Catalog, Delta Lake, and Delta Live Tables.
• 10+ years of experience architecting and implementing enterprise data solutions with modern data platforms.
• Experience with cloud platforms (AWS, Azure, or GCP) and their data services.
• Strong foundation in data engineering, SQL, Apache Spark, Python, and distributed computing concepts.
• Experience building data models, designing ETL/ELT pipelines, and implementing governance frameworks.
• Expertise in machine learning operations, AI/ML use cases, and modern AI platforms.
• Proven experience leading technical teams and mentoring junior staff.
• Ability to communicate complex technical concepts to executive stakeholders.
• Experience managing large enterprise engagements and multiple work streams.
• Strong problem solving skills and ability to work through ambiguity.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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