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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Databricks Solution Architect - **Company:** The Joule - **Location:** Dallas, TX, United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Customer Data Management, Data as a Services, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Distributed Systems, Python (Programming Language), Performance Tuning, SQL Databases, Working Model 2D, Google Cloud, Apache Spark, Data Lakes, Machine Learning Operations, Data Pipelines, Databricks - **Published:** September 19, 2026 - **Apply:** https://www.dice.com/job-detail/9eb8a52f-9120-4077-ab9e-84a109938f9a ## About the Role * 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 Google Cloud Platform) 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. ## Description 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. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Parquet, Delta, Iceberg & Ducklake - An introduction for developers](https://www.wearedevelopers.com/videos/100075-parquet-delta-iceberg-ducklake-an-introduction-for-developers) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j)