Solutions Architect - Lakebase

Mission



The Solutions Architect (Lakebase) 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 (Lakebase) 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 Lakebase product-line requires the following core technical competencies:

* 10+ years of transactional database (OLTP) expertise across engineering,
product development, administration, and pre-sales, with a proven track
record of designing and delivering client-facing solutions.
* Credibility in influencing OLTP products with the market insight needed to
shape and prioritize roadmap capabilities.
* Experience architecting solutions that integrate transactional data systems
within broader Big Data, Lakehouse, and AI ecosystems.
* Infrastructure, platform and administration expertise around disaster
recovery, high availability, backup and recovery, scale-out methods, identity
and security management, migrations (vendor-to-vendor, on-prem to cloud)

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.
* 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 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, AI, ML, governance, transactional systems, app
development, and streaming.
* Undergraduate degree (or higher) in a technical field such as Computer
Science, Applied Mathematics, Engineering or similar.
* A track record of driving complex projects to completion in fast-paced,
customer-facing environments.

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.