or apply directly on Databricks's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 66 days Databricks's roles stay open a median of 66 days
- Reposted
- No
- Salary listed
- No 0% of Databricks's roles list one
- Ghost-job risk at Databricks
- high 741 stale, 25 reposted of 879 open
- Hiring momentum
- 1112 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-08
Measured from postings appearing on and disappearing from Databricks's own greenhouse board since 2026-08-03. Full hiring picture for Databricks.
About this role
The Senior Solutions Architect (Lakebase) at Databricks is responsible for executing strategies to enhance product market fit and drive revenue growth for the Lakebase product line. This role involves collaborating with account teams to engage clients, develop presentations, and implement strategies that encourage product adoption. The architect will also address complex technical challenges and influence product roadmaps based on insights gathered from client interactions.
- benefits
- 1/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Databricks as an employer.
What you need
- 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales
- Experience architecting solutions that integrate transactional data systems within 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
- 10+ years in a customer-facing, pre-sales or consulting role influencing technical executives
- 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)
Nice to have
- Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes
- Broad experience in data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming
Worth weighing
- No specific salary or compensation details provided
- Role involves significant client interaction and requires strong collaboration with account executives and cross-functional teams
- The position may require handling complex technical challenges in mission-critical environments
- The job description emphasizes a need for a strong technical background and experience in fast-paced environments
Summarised from Databricks's posting. Read the full original.
Listed by Databricks on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.
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