Asks for

The ad says“Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, business intelligence, AI, ML, governance, semantic modeling, natural-language analytics, and streaming.”
The ad says“Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).”
The ad says“Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).”
The ad says“Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, business intelligence, AI, ML, governance, semantic modeling, natural-language analytics, and streaming.”
The ad says“Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, business intelligence, AI, ML, governance, semantic modeling, natural-language analytics, and streaming.”
The ad says“Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, business intelligence, AI, ML, governance, semantic modeling, natural-language analytics, and streaming.”
The ad says“Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).”
The ad says“Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, business intelligence, AI, ML, governance, semantic modeling, natural-language analytics, and streaming.”
The ad says“Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, business intelligence, AI, ML, governance, semantic modeling, natural-language analytics, and streaming.”
The ad says“Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, business intelligence, AI, ML, governance, semantic modeling, natural-language analytics, and streaming.”
The ad says“Proficient in programming, debugging, and problem-solving using SQL and Python.”
The ad says“Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, business intelligence, AI, ML, governance, semantic modeling, natural-language analytics, and streaming.”
The ad says“Proficient in programming, debugging, and problem-solving using SQL and Python.”
The ad says“Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, business intelligence, AI, ML, governance, semantic modeling, natural-language analytics, and streaming.”

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Mission

The Solutions Architect (Genie) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Genie) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way.

The impact you will have

Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.
As a trusted advisor, serve as an expert Solutions Architect and "champion," building technical credibility with stakeholders to drive product adoption and vision.
Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.
Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams
Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.

Competencies & Responsibilities

6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.
Credibility in influencing analytics, BI, and natural-language / agentic AI products, with the market insight needed to shape and prioritize roadmap capabilities.
Deep understanding of AI governance across different tools and models and ability to guide customers through security blockers and concerns
Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams.
Experience architecting governed analytics solutions that integrate semantic models, data warehouses, and metric layers within broader Lakehouse and AI ecosystems.
Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes.
Proficient in programming, debugging, and problem-solving using SQL and Python.
Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).
Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, business intelligence, AI, ML, governance, semantic modeling, natural-language analytics, and streaming.
Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.

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.