[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 – Digital Native Business, Named Accounts 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 TimeExperienceOpen levelPublished29 Oct 2026Apply before28 Nov 2026Listing views34Application 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 hiring a customer-facing Solutions Architect to support named Digital Native Business accounts with data, analytics, and AI platform architecture. The role combines pre-sales technical leadership, solution design, proof-of-concept delivery, and technical advisory work for existing customers. The architect will work across distributed data systems, cloud platforms, Python, SQL, data engineering, and machine learning workloads. Success requires translating business problems into scalable Databricks-based solutions, validating integrations, and building technical champions in customer organizations. ## 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 consulting role requiring broad hands-on expertise in distributed data systems, cloud services, data engineering, and machine learning. It also demands strong customer-facing communication, pre-sales judgment, and the ability to deliver strategic proofs of concept independently. ## 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 USD 180,000–247,500 annual local pay range, described as salary for non-commissionable roles or on-target earnings for commissionable roles. The midpoint is USD 213,750 per year. Estimated US market compensation for a senior data/AI Solutions Architect is approximately USD 175,000–260,000 annually, with variation by location, technical depth, and sales-facing scope. ## Core skills Skills and capabilities most closely associated with this opportunity. [Solution Architecture](https://jobicy.com/jobs?search_keywords=Solution%20Architecture.md)[Data Engineering](https://jobicy.com/jobs?search_keywords=Data%20Engineering.md)[Distributed Systems](https://jobicy.com/jobs?search_keywords=Distributed%20Systems.md)[Apache Spark](https://jobicy.com/jobs?search_keywords=Apache%20Spark.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.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)[Machine Learning](https://jobicy.com/jobs?search_keywords=Machine%20Learning.md)[Proof of Concept Development](https://jobicy.com/jobs?search_keywords=Proof%20of%20Concept%20Development.md)[Technical Pre-sales](https://jobicy.com/jobs?search_keywords=Technical%20Pre-sales.md)[Customer Consulting](https://jobicy.com/jobs?search_keywords=Customer%20Consulting.md)[Data Architecture](https://jobicy.com/jobs?search_keywords=Data%20Architecture.md) Sample interview questionsHow would you approach designing a Databricks solution for a customer moving from fragmented data pipelines to a unified data platform?I would begin with discovery of current sources, workloads, data quality issues, governance requirements, users, and target business outcomes. I would then propose a phased lakehouse architecture covering ingestion, transformation, storage, governance, orchestration, and consumption, validating the approach through a focused proof of concept with measurable success criteria. Describe how you would troubleshoot a slow Spark workload. I would inspect the Spark UI and execution plan to identify skew, excessive shuffles, inefficient joins, partitioning issues, data volume concerns, and resource bottlenecks. I would then test targeted improvements such as optimizing file formats, partition strategy, join methods, caching where appropriate, and cluster configuration while measuring the performance impact of each change. How do you balance technical depth with business value in a pre-sales customer conversation? I first clarify the business problem, decision makers, success metrics, and constraints. I tailor technical detail to the audience, connect architecture choices to outcomes such as faster insights or lower operational effort, and use a proof of concept to demonstrate measurable value rather than presenting technology in isolation. What considerations are important when integrating a data platform with AWS, Azure, or GCP services? Key considerations include identity and access management, network connectivity, data residency, encryption, storage design, cost controls, observability, and operational ownership. I would also validate interoperability with existing services, establish secure deployment patterns, and ensure the architecture supports reliability and governance requirements. How would you build technical champions within a customer organization? I would identify influential practitioners and leaders, understand their priorities, and give them practical enablement through workshops, architecture sessions, and hands-on implementation support. Sharing reusable patterns, documenting outcomes, and helping champions demonstrate internal value builds confidence and long-term platform adoption. Opportunity details ## About this role. FEQ327R210 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #LI-REMOTE As a Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world. Reporting to the Field Engineering Manager, you will collaborate with existing DNB customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way. The impact you will have: * You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems. * Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications * Collaborate with your fellow Solutions Architects, using your skills to support each other and our users * Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community. What we look for: * 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role * Experience building distributed data systems * Comfortable programming in, and debugging, Python and SQL * Have built solutions with public cloud providers such as AWS, Azure, or GCP * Expertise in one of the following: Data Engineering technologies (Ex: Spark, Hadoop, Kafka) * Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow) * Available to travel to customers in your region * [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research) * Nice to have: Databricks Certification NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply. We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths. 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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