[All remote jobs](https://jobicy.com/jobs.md)[![Databricks logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2021/12/4e3f864ba9cf3c62d471e1c62414d098.jpg)](https://jobicy.com/company/databricks.md)[Databricks](https://jobicy.com/company/databricks.md) # Solutions Architect – Public Sector (SLED) Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/databricks.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 180k–247,500 / yrDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentFull TimeExperienceSeniorPublished29 Oct 2026Apply before28 Nov 2026Listing views37Application actions2Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Databricks is seeking a customer-facing Solutions Architect to help state, local, and education public-sector customers evaluate, adopt, and implement its Data and AI platform. The role combines pre-sales technical leadership, solution architecture, proof-of-concept delivery, and close partnership with sales and post-sales teams. The architect will design distributed data, analytics, and machine-learning solutions using cloud services and technologies such as Spark, Delta Lake, and MLflow. Candidates need substantial client-facing architecture or consulting experience, public-sector expertise, programming ability, and US citizenship. Regional customer travel is expected. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 4/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior technical pre-sales role requiring deep expertise across cloud platforms, distributed data systems, data engineering, and AI/ML, alongside public-sector domain experience. Success also depends on independently translating complex customer needs into credible architectures and executive-ready technical guidance. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$213,750US market range (per year)$175k–$260k0$286k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a $180,000–$247,500 USD pay range. The annual period is inferred from the range magnitude and senior full-time US solutions-architect context, rather than explicitly stated. The estimated US market range for a senior public-sector data and AI solutions architect is approximately $175,000–$260,000 USD per year, excluding bonus, commission, and equity. ## Core skills Skills and capabilities most closely associated with this opportunity. [Solution Architecture](https://jobicy.com/jobs?search_keywords=Solution%20Architecture.md)[Pre-sales Consulting](https://jobicy.com/jobs?search_keywords=Pre-sales%20Consulting.md)[Public Sector](https://jobicy.com/jobs?search_keywords=Public%20Sector.md)[Distributed Data Systems](https://jobicy.com/jobs?search_keywords=Distributed%20Data%20Systems.md)[Apache Spark](https://jobicy.com/jobs?search_keywords=Apache%20Spark.md)[Delta Lake](https://jobicy.com/jobs?search_keywords=Delta%20Lake.md)[MLflow](https://jobicy.com/jobs?search_keywords=MLflow.md)[Cloud Architecture](https://jobicy.com/jobs?search_keywords=Cloud%20Architecture.md)[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[Microsoft Azure](https://jobicy.com/jobs?search_keywords=Microsoft%20Azure.md)[Google Cloud Platform](https://jobicy.com/jobs?search_keywords=Google%20Cloud%20Platform.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Data Engineering](https://jobicy.com/jobs?search_keywords=Data%20Engineering.md)[Machine Learning](https://jobicy.com/jobs?search_keywords=Machine%20Learning.md) Sample interview questionsHow would you approach a Databricks architecture discovery session with a state or local government customer?I would first identify the agency's mission outcomes, priority use cases, data sources, security constraints, procurement context, and success metrics. I would then map those needs to a phased target architecture, validate assumptions with technical stakeholders, and recommend an initial proof of concept with measurable business and technical acceptance criteria. Describe how you would design a scalable data platform for a public-sector organization using Databricks. I would use a lakehouse pattern with governed ingestion, layered data quality transformations, scalable Spark processing, and role-based access controls through Unity Catalog. The design would include secure cloud networking, auditability, lineage, encryption, disaster recovery requirements, and workload patterns for analytics, reporting, and machine learning. What factors would you consider when leading a proof of concept for a strategic customer? I would align on a narrow, valuable use case; define baseline metrics; confirm data access and security prerequisites; and establish a time-boxed implementation plan. During delivery, I would demonstrate performance, usability, governance, and integration outcomes while documenting architecture decisions and a production adoption roadmap. How do you explain the value of open-source technologies such as Spark, Delta Lake, and MLflow to nontechnical stakeholders? I focus on outcomes rather than implementation details: faster access to trusted data, lower operational risk, improved model governance, and the ability to scale programs without creating siloed systems. I use a customer-relevant example and connect each technology to measurable improvements in delivery speed, reliability, or decision quality. Tell us about a time you handled competing priorities between a sales team and a customer technical team. I would create a shared plan that separates immediate evaluation milestones from longer-term architecture needs. By making dependencies, risks, and success criteria visible, I can maintain sales momentum while ensuring the technical team has sufficient validation to make a sustainable decision. Opportunity details ## About this role. FEQ427R58 Mission Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team. The impact you will have: * Partner with the sales team to help customers understand how Databricks can help solve their business problems * Provide technical leadership for customers to evaluate and adopt Databricks * Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications * Build and present references architectures, how-tos, and demo applications for customers * Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars * Travel to customers in your region What we look for: * 6+ years in a customer-facing pre-sales, technical architecture, or consulting role * Experience designing and architecting distributed data systems * Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R * Experience supporting Public Sector clients * Have built solutions with public cloud providers such as AWS, Azure, or GCP * Data Engineering technologies (Ex: Spark, Hadoop, Kafka) * Data Warehousing (Ex: SQL, OLTP/OLAP/DSS) * [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research) * US Citizen Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page [here](https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf). Local Pay Range $180,000—$247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on [LinkedIn](https://www.linkedin.com/company/databricks), [X](https://x.com/databricks), [YouTube](https://www.youtube.com/@Databricks), and [Instagram](https://www.instagram.com/databricksinc/?hl=en). Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click [here](https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing). Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. 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