--- title: 'Solutions Engineer at Databricks' canonical: 'https://feeny.ai/job/solutions-engineer-databricks-new-york-r337jad44gdr' type: 'job' last_seen: '2026-10-17' --- # Solutions Engineer at Databricks - **Company:** Databricks - **Location:** New York, NY - **Posted:** 2026-10-14 - **Last confirmed live:** 2026-10-17 - **Apply:** https://databricks.com/company/careers/open-positions/job?gh_jid=8886384002 ## Job description FEQ427R443 Solutions Engineer At Databricks, our core values drive everything we do; a culture of proactiveness and a customer-first mindset fuels our mission to create a unified platform that makes AI and data analytics accessible to everyone in their own context. This role is part of our programmatic effort to develop promising field engineers—offering a launchpad for the next generation of data leaders. We aim to build leaders who will drive both data and business strategy for our customers, leading the front lines of Databricks growth as well. With our Data Intelligence Platform, we make it easy to turn insights into action while encouraging creativity, experimentation, and continuous improvement. You’ll play a key role in this mission, building upon your emerging technical skills in the area of solutions engineering, learn how to apply them in the Databricks platform and show customers how to tackle real-world data challenges.  Solutions engineers go further than telling them what's possible, they build working prototypes and advise customer teams on how to get to production.  You’ll join a collaborative, customer-obsessed team that thrives on innovation to help customers reach their goals. Come help us change how the world works with data—and shape your future while you're at it! This will be an in-office role and candidates must be based in our New York City (Midtown location). Relocation assistance will not be provided. Recent graduate?: We’d love for you to explore our current internship openings on our careers page and submit your application for our roles designed for new college graduates. [More About Databricks](https://www.databricks.com/company/about-us) [YouTube](https://www.youtube.com/watch?v=g-Y9fhYDJRA) The impact you will have: - Form successful relationships with customers throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives. - Operate as an expert in AI and data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple areas of architecture, design, and implementation to lead to the successful adoption of the Databricks data and AI platform. - Adopt a builder-first approach: move quickly from customer problem to working prototype by writing code, building demos, and creating reusable assets that accelerate customer outcomes. - Use AI tools to increase your productivity and drive innovation. - Scale best practices in your field and support customers by authoring reference architectures, how-tos, demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups. - Grow your knowledge and expertise to the level of a technical and/or industry specialist. What we look for: - The ideal candidate has 2+ years of technical experience in a customer-facing solutions engineering role. - Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or equivalent experience through work experience - Demonstrates a builder mindset: preference for hands-on prototyping and learning-by-doing, with comfort using AI-assisted development tools to move faster - Hands-on experience with Python, Java, or Scala, and proficiency in SQL - Experience with Big Data technologies (Ex: Spark, Hadoop, Kafka) and architectures is a plus - Aptitude to interact with customers confidently and professionally - Can meet expectations for technical training and role-specific outcomes within 6 months of hire ## 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. ## About Databricks ## Company Overview - **One-liner**: Databricks provides a unified data and AI platform built on an open lakehouse architecture, enabling organizations to manage data, analytics, and AI at scale. - **Entity Type**: Private (late-stage, last reported valuation ~$43B in 2021, but current valuation not publicly disclosed) - **Headquarters**: San Francisco, California, USA - **Founded**: 2013 - **Founders**: Original creators of Apache Spark™, Delta Lake, MLflow, and Unity Catalog (co-founders include Ali Ghodsi, Matei Zaharia, Ion Stoica, Patrick Wendell, Reynold Xin, among others) ## Core Business - Primary industry: Data & AI Platform / Enterprise Software - Target customers: B2B – Enterprise, SMB, and government organizations; over 20,000 customers worldwide, including 70% of the Fortune 500 - Mission: “Simplify and democratize data and AI, helping data and AI teams solve the world’s toughest problems.” [databricks.com](https://www.databricks.com/company/about-us) ## Products & Services - **Databricks Data Intelligence Platform**: Unified platform for data engineering, data warehousing, data science, machine learning, and AI. It integrates open-source technologies like Apache Spark, Delta Lake, MLflow, and Unity Catalog. - **Lakebase**: Serverless Postgres database integrated with the lakehouse, built for the AI era. - **Genie**: AI-powered natural language assistant for data insights and querying. - **Agent Bricks**: Tools for building AI agents that continuously improve quality and accuracy on an organization’s data. - **Additional offerings**: Data warehousing, business intelligence, governance, data engineering, and AI/ML services. ## Market Standing - **Valuation/Market Cap**: Not publicly available (private company; last reported valuation of $43B in 2021 from a Series I round, but no recent official disclosure) - **Key Metric**: Over 10,000 employees; 20,000+ customers; 70% of Fortune 500; 1,200+ global partners [databricks.com](https://www.databricks.com/) - **Notable Investors/Partners**: Not explicitly listed in search results, but known investors include Andreessen Horowitz, Tiger Global, Microsoft, and others. Partners include major cloud providers (AWS, Azure, GCP) and consulting firms. - **Growth Signals**: Headcount of 10,000+ employees; offices in 30+ locations across 20+ countries; 5x Leader in Gartner® Magic Quadrant™ Reports; LinkedIn job postings growing 26.7% year-over-year (783 active positions) [linkedin.com](https://www.linkedin.com/company/databricks) ## Competitive Advantages - **Open lakehouse architecture**: Combines data lake and data warehouse capabilities with open-source standards, avoiding vendor lock-in. - **Founding team behind Apache Spark, Delta Lake, MLflow**: Deep technical credibility and active open-source community. - **Unified platform**: Single solution for data engineering, analytics, and AI, reducing complexity for enterprises. - **Strong data governance**: Unity Catalog provides centralized access control and lineage. - **AI-native**: Built-in AI capabilities (Genie, Agent Bricks) that leverage an organization’s own data. ## Strategic Focus - Expanding AI capabilities with natural language interfaces and autonomous agents. - Deepening integrations with cloud providers and open-source ecosystems. - Scaling enterprise sales and global footprint (30+ offices, focus on EMEA and APAC). - Cultivating a developer and data science community through university programs and open-source contributions. ## Why Work Here - **Culture**: Described as “innovators, builders and truthseekers” with a focus on solving hard technical problems. Emphasizes inclusion, diversity, and equity, including closing the pay gap and removing unconscious bias from recruitment. [databricks.com](https://www.databricks.com/company/careers) - **Work Environment**: Hybrid/flexible work model; benefits and perks include health, well-being, and flexible ways of working. Offices in major cities globally. - **Engineering Culture**: Strong emphasis on open-source, AI, and data infrastructure. Opportunities for interns and new grads to contribute to core platform. Hackathons, board game nights, and social events. - **Growth**: Fast-growing company (10,000+ employees, 20,000+ customers) with ambitious scaling plans, offering career advancement in engineering, sales, product, and more. ## Sources 1. [Databricks About Us](https://www.databricks.com/company/about-us) 2. [Databricks Careers](https://www.databricks.com/company/careers) 3. [Databricks Homepage](https://www.databricks.com/) 4. [Databricks LinkedIn](https://www.linkedin.com/company/databricks) ## Other roles at Databricks - [Sr. Public Relations Manager](https://feeny.ai/job/sr-public-relations-manager-databricks-san-francisco-r536snhxnwv8) — San Francisco, CA - [Manager, Delivery Solutions Architects - Healthcare & Life Sciences (HLS)](https://feeny.ai/job/manager-delivery-solutions-architects-healthcare-life-sciences-hls-databricks-ag5x76znwxg5) — United States - [Candidate Experience Admin (6-month contract)](https://feeny.ai/job/candidate-experience-admin-6-month-contract-databricks-bellevue-r0qd2dayrqft) — Bellevue, WA / Seattle, WA - [Named Core Account Executive, Health Insurance](https://feeny.ai/job/named-core-account-executive-health-insurance-databricks-amsterdam-08hw99rk69de) — Amsterdam, Netherlands - [Named Core Account Executive, Finland](https://feeny.ai/job/named-core-account-executive-finland-databricks-finland-kz2stq58186y) — Finland - [Product Finance Senior Manager, Cloud Platform Costs & Operations](https://feeny.ai/job/product-finance-senior-manager-cloud-platform-costs-operations-databricks-k1bhvkd9cdgw) — Mountain View, CA / San Francisco, CA / Seattle, WA - [Product Finance Director, R&D Capital Allocation & Engineering Operations](https://feeny.ai/job/product-finance-director-r-d-capital-allocation-engineering-operations-r4a6y6wqknc2) — Mountain View, CA / San Francisco, CA / Seattle, WA - [Product Finance Director, AI Products & GPU Investment Strategy](https://feeny.ai/job/product-finance-director-ai-products-gpu-investment-strategy-databricks-8t79c94c57ry) — Mountain View, CA / San Francisco, CA / Seattle, WA - [Lead Solutions Architect - Generative AI (EMEA Emerging DNB)](https://feeny.ai/job/lead-solutions-architect-generative-ai-emea-emerging-dnb-databricks-germany-bw3kgz25njye) — Germany - [Lead Solutions Architect - Generative AI (EMEA Emerging DNB)](https://feeny.ai/job/lead-solutions-architect-generative-ai-emea-emerging-dnb-databricks-france-eevjy22t559g) — France