[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 – Strategic High Tech 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[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceOpen levelPublished29 Oct 2026Apply before28 Nov 2026Listing views48Application actions3Application 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 Strategic Solutions Architect to guide major AI-native customers in designing and adopting data, analytics, and machine-learning solutions on the Databricks platform. The role combines technical pre-sales leadership, solution architecture, proof-of-concept delivery, and close collaboration with sales, product, and customer engineering stakeholders. Candidates need strong experience with distributed data systems, Python, SQL, public cloud platforms, and either data engineering or machine-learning technologies. This is a customer-facing remote role in California, with travel to customers in the region expected. The listed compensation range is $180,000 to $247,500 USD annually, with potential bonus and equity eligibility. ## 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 insightThe position requires deep hands-on credibility across distributed data systems, cloud architecture, data engineering, and machine learning while influencing sophisticated strategic customers. Success also depends on independently leading technical discovery, proofs of concept, and executive-facing solution discussions. ## 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)$180k–$260k0$286k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. Databricks discloses a $180,000–$247,500 USD pay range. The posting labels this as an expected salary range or on-target earnings range but does not state a cadence; yearly pay is inferred from the senior US strategic solutions-architecture context and compensation magnitude. The estimated US market range for comparable strategic data-platform solutions architects is $180,000–$260,000 USD per year. ## Core skills Skills and capabilities most closely associated with this opportunity. [Solution architecture](https://jobicy.com/jobs?search_keywords=Solution%20architecture.md)[Technical pre-sales](https://jobicy.com/jobs?search_keywords=Technical%20pre-sales.md)[Data engineering](https://jobicy.com/jobs?search_keywords=Data%20engineering.md)[Distributed systems](https://jobicy.com/jobs?search_keywords=Distributed%20systems.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Apache Spark](https://jobicy.com/jobs?search_keywords=Apache%20Spark.md)[Apache Kafka](https://jobicy.com/jobs?search_keywords=Apache%20Kafka.md)[Machine learning](https://jobicy.com/jobs?search_keywords=Machine%20learning.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)[Proof of concept development](https://jobicy.com/jobs?search_keywords=Proof%20of%20concept%20development.md)[Customer stakeholder management](https://jobicy.com/jobs?search_keywords=Customer%20stakeholder%20management.md)[Technical leadership](https://jobicy.com/jobs?search_keywords=Technical%20leadership.md) Sample interview questionsDescribe a proof of concept you led for a large-scale data platform migration or modernization.I would begin by defining measurable business and technical success criteria with stakeholders, then create a representative architecture and use a realistic subset of workloads and data. I would validate performance, reliability, security, integration, and operating cost, document trade-offs, and present a clear recommendation and implementation path. How would you position Databricks for a customer running fragmented data engineering and machine-learning workflows? I would first map the current workflow, bottlenecks, governance gaps, and desired business outcomes. I would then show how a unified platform can reduce handoffs between engineering and data science, provide governed data access, support scalable processing, and standardize the lifecycle from ingestion through model deployment. What are key considerations when designing a distributed data system for a strategic customer? I assess workload patterns, data volume and velocity, latency objectives, fault tolerance, security, governance, cost controls, and integration requirements. I also design for operational observability, data quality, access controls, and a phased adoption plan that reduces implementation risk. How do you handle a customer stakeholder who challenges your technical recommendation? I treat the challenge as useful discovery and ask clarifying questions to understand the underlying concern, constraints, and success measures. I support my recommendation with architecture trade-offs, evidence from testing or benchmarks, and alternatives, while aligning the final decision to the customer’s priorities. How would you debug a slow SQL or Spark workload? I would inspect the execution plan and runtime metrics to identify skew, excessive shuffles, inefficient joins, poor partitioning, or unnecessary data scans. I would then test targeted improvements such as filtering earlier, selecting an appropriate join strategy, repartitioning, improving file layout, and tuning compute resources while validating performance and cost impact. Opportunity details ## About this role. While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #LI-REMOTE As a Strategic Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape of one of the largest global tech companies by working with the most sophisticated data engineering and data science teams. Reporting to the Field Engineering Manager, you will collaborate with customer stakeholders, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide one of our largest AI native 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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