Level

Databricks

Sr. Solutions Architect (Lakebase)

Databricks is hiring a Sr. Solutions Architect (Lakebase) for a remote role open to applicants in Japan. Level rates it ; you can apply on Databricks.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this solutions architect role: the daily work is on AI products, without building the model.
  • This is listed as a remote role.
  • The posting mentions SQL, solutions architecture and database administration among its tools and skills.
  • Level classes it as a senior role.
  • Databricks has 895 other open roles on Level.

AI in this role

Design and drive adoption of enterprise data and AI ecosystem solutions as a Solutions Architect for Databricks.

sql
solutions-architecturedatabase-administrationbig-datacloud-migration

Req: FEQ327R246
Location: Tokyo, Japan

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.
  • Fluent in Japanese with a professional working proficiency in English

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.

How we rate this

Sr. Solutions Architect (Lakebase) at Databricks rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Solutions ArchitectureDatabase AdministrationBig DataCloud MigrationSQL

Also common in solutions architect jobs at this level

Pay

Typical solutions architect job
$168k

This posting doesn't list pay. Use the typical solutions architect figure when pay comes up. See solutions architect jobs

Questions you could be asked

  1. Tell me about a project where solutions architecture was part of your work. What did you do?
  2. Tell me about a project where database administration was part of your work. What did you do?
  3. Tell me about a project where big data was part of your work. What did you do?
  4. Tell me about a project where cloud migration was part of your work. What did you do?
  5. Walk me through how you've used SQL in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Solutions Architecture, Database Administration, Big Data, Cloud Migration, and SQL. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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