[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 – Manufacturing 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[Sales](https://jobicy.com/categories/seller.md)EmploymentFull TimeExperienceDirectorPublished29 Oct 2026Apply before28 Nov 2026Listing views48Application 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 senior pre-sales Solutions Architect to shape technical strategy for major enterprise manufacturing accounts. The role partners closely with Account Executives, customers, and internal technical teams to drive adoption of Databricks data, ML, and AI capabilities. Core work includes executive-level value selling, technical discovery, proof-of-concept delivery, live coding, and building customer champions. Candidates need hands-on expertise in data engineering, cloud data warehousing, data science, and production programming in Python, R, Scala, or Java. This is a remote US role available in Illinois, Michigan, and New York. ## 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 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a highly senior customer-facing role that combines deep technical credibility with executive influence across large global accounts. Success requires independently directing account strategy while delivering practical technical demonstrations and proofs of concept. ## 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 range, with an annual cadence inferred from the scale and senior US enterprise Solutions Architect context. The midpoint is USD 213,750 per year. A reasonable estimated US market range for a senior cloud data and AI pre-sales Solutions Architect is USD 175,000–260,000 annually, excluding potential equity and bonus components. ## Core skills Skills and capabilities most closely associated with this opportunity. [Solution Architecture](https://jobicy.com/jobs?search_keywords=Solution%20Architecture.md)[Pre-sales Engineering](https://jobicy.com/jobs?search_keywords=Pre-sales%20Engineering.md)[Enterprise Sales](https://jobicy.com/jobs?search_keywords=Enterprise%20Sales.md)[Technical Account Management](https://jobicy.com/jobs?search_keywords=Technical%20Account%20Management.md)[Data Engineering](https://jobicy.com/jobs?search_keywords=Data%20Engineering.md)[Cloud Data Warehousing](https://jobicy.com/jobs?search_keywords=Cloud%20Data%20Warehousing.md)[Machine Learning](https://jobicy.com/jobs?search_keywords=Machine%20Learning.md)[Artificial Intelligence](https://jobicy.com/jobs?search_keywords=Artificial%20Intelligence.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Scala](https://jobicy.com/jobs?search_keywords=Scala.md)[Java](https://jobicy.com/jobs?search_keywords=Java.md)[Proof of Concept Development](https://jobicy.com/jobs?search_keywords=Proof%20of%20Concept%20Development.md)[Value Selling](https://jobicy.com/jobs?search_keywords=Value%20Selling.md)[Executive Stakeholder Management](https://jobicy.com/jobs?search_keywords=Executive%20Stakeholder%20Management.md)[Technical Leadership](https://jobicy.com/jobs?search_keywords=Technical%20Leadership.md) Sample interview questionsHow would you develop a technical account strategy for a large manufacturing enterprise evaluating Databricks?I would start with discovery across business, data, and IT stakeholders to identify priority outcomes such as predictive maintenance, supply-chain optimization, quality analytics, or AI-enabled operations. I would map the current data estate, architectural constraints, decision-makers, and success metrics, then create a phased adoption roadmap linking Databricks capabilities to measurable value. I would align the plan with the Account Executive and establish executive sponsorship and technical champions early. Describe how you would structure a proof of concept for a customer interested in ML and AI use cases. I would define a narrow, valuable use case with agreed success criteria, data availability, security requirements, and a clear timeline. The proof of concept would demonstrate ingestion, transformation, governance, model development or AI workflows, and measurable outcomes using representative customer data. At the end, I would present results, architecture recommendations, operating considerations, and a production adoption plan. How do you communicate a complex data architecture to both executives and hands-on engineers? For executives, I focus on business outcomes, risk reduction, investment rationale, and a concise roadmap. For engineers, I provide architectural detail, integration patterns, governance controls, performance trade-offs, and implementation steps. I ensure both audiences remain aligned by using shared success metrics and translating technical decisions into their operational and financial impact. What is your approach to leading a virtual team across a strategic account? I establish a shared account objective, explicit roles, decision paths, and a regular operating cadence with the Account Executive, specialists, partner teams, and customer stakeholders. I keep the team focused through documented account plans, action owners, technical milestones, and proactive risk management. I also create feedback loops so field insight improves the technical strategy as customer priorities evolve. How would you handle a customer stakeholder who is skeptical of changing their existing data platform? I would first understand the source of concern, whether it is migration risk, security, cost, skills, or disruption to existing processes. I would acknowledge valid constraints and use targeted demonstrations, reference architectures, and a low-risk proof of concept to show value in the customer's environment. Rather than advocating change broadly, I would propose an incremental path that preserves critical operations while proving measurable improvements. Opportunity details ## About this role. FEQ427R286 We are looking for experienced pre-sales professionals with a proven track record of helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Solutions Architect defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management, and technical leadership to maximize success in these accounts. Your work with customers will include partnering with hands-on resources. You will build proofs-of-concept and demonstrate Databricks’ products, and you need to be technical and understand the relevance and application of ML & AI across a range of use cases important to the target accounts in various verticals. You will be a technical partner to our customers, working alongside hands-on resources to build proofs of concept and showcase Databricks products. A deep understanding of ML & AI’s relevance and application across a variety of crucial use cases for target accounts in different verticals is essential for this role. Outcomes * You work with multiple clients as the main technical voice for Databricks. * You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy * You implement the technical strategy in the accounts with a clear understanding of this strategy and its business value. * You build a movement of technical champions within the account. * You align technical strategies around Databricks solutions. * You provide structured mentorship for other team members. * Gain your peers’ respect through your experience, insight, and contributions. Competencies: * Experience in establishing virtual teams and leading them to ultimate success within the account. * Experience working with very large (> $1m ARR), global accounts. * Experience building relationships with executives and influencers, both internally and with customers. * Present a convincing point of view to important decision-makers that leads them down a path of success. * Technical experience in data engineering, cloud data warehousing, and/or data science * An ability in data-driven business transformation and driving change with data. * Production programming expertise in Python, R, Scala, or Java * Experience practicing live/vibe coding sessions with stakeholders * Nice to have: Databricks Certifications 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 base 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 anticipated 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). Zone 1 Pay Range $180,000—$247,500 USD Zone 2 Pay Range $180,000—$247,500 USD Zone 3 Pay Range $180,000—$247,500 USD Zone 4 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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