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REQ# FEQ427R66
Solutions Architect – Data & AI (Presales)
At Databricks, our Solutions Architects combine customer engagement with hands-on technical expertise.
You will work closely with customers to understand their challenges and demonstrate how the Databricks platform can solve them – not just conceptually, but in practice.
This role sits within our sales organization and is ideal for someone who enjoys working at the intersection of business, data, and AI — and who is motivated by turning ideas into working solutions.
What you’ll do- Partner with Account Executives to drive technical sales cycles and customer outcomes
- Lead customer workshops, discovery sessions, and technical deep-dives across multiple stakeholders
- Build and deliver proof-of-concepts, demos, and solution prototypes using real data
- Translate business requirements into practical, scalable data and AI solutions
- Act as a trusted advisor, while also being able to go hands-on to validate solutions end-to-end
- Work through technical challenges with customers, iterating and resolving issues as they arise
- Contribute reusable assets, patterns, and best practices that accelerate adoption across customers
- Experience working with customers in a presales, consulting, or advisory capacity
- Ability to communicate complex topics to both technical and non-technical audiences
- Comfortable leading discussions that connect business goals to technical decisions
- Experience with Python (or similar) and familiarity with distributed data processing and compute and working with large-scale datasets
- Understanding of data pipelines and modern data architectures
- Ability to work practically with data (e.g. building PoCs, exploring datasets, troubleshooting)
- Comfortable reasoning through code, explaining how it works, and adapting it when things don’t behave as expected
- Familiarity with analytics, data science, or machine learning workflows
- Understanding of how data platforms support AI use cases (e.g. feature pipelines, model training, inference)
- Interest in modern AI capabilities, combined with an understanding of how they operate on real data systems
- Familiarity with cloud platforms and data technologies
- Ability to design solutions that consider scalability, performance, reliability, and data volumes
- Awareness of trade-offs in architecture decisions and ability to adapt designs based on constraints
- You are comfortable switching between business dialogue and technical execution
- You don’t just describe solutions — you can build, validate, and iterate on them in practice
- You take ownership of technical challenges and push problems forward, even when things are not working as expected
- You apply structured thinking in discovery and can connect requirements to scalable technical solutions
- You understand that AI solutions depend on solid data foundations
- You are curious and continuously deepen your technical expertise
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, X, YouTube, and Instagram.
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.
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.
Skills Required
- Experience working with customers in a presales, consulting, or advisory capacity
- Experience with Python (or similar) and familiarity with distributed data processing and large-scale datasets
- Ability to build and deliver proof-of-concepts, demos, and solution prototypes using real data
- Understanding of data pipelines and modern data architectures
- Familiarity with analytics, data science, or machine learning workflows
- Familiarity with cloud platforms and data technologies
- Ability to translate business requirements into practical, scalable data and AI solutions
- Ability to communicate complex topics to both technical and non-technical audiences
- Hands-on troubleshooting and ability to reason through and adapt code when issues arise
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Healthcare Strength — Company materials highlight comprehensive medical, dental, and vision coverage alongside mental-health resources, wellness reimbursements, and business travel insurance. Offerings are described as broad and modern, with core health coverage consistently emphasized.
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Parental & Family Support — Paid parental leave is explicitly called out, with details such as up to 20 weeks for birthing parents and up to 12 weeks for non-birthing parents in the U.S. Public materials also reference family-forming support, reinforcing the focus on families.
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Wellbeing & Lifestyle Benefits — Wellness programs and perks include gym reimbursement, periodic wellness events (e.g., yoga, massages), and in-office meals and snacks in many locations. Personal development funds and discounts further enhance lifestyle and growth support.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
