or apply directly on Databricks's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 13 days Databricks's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 0% of Databricks's roles list one
- Ghost-job risk at Databricks
- low 0 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
- 2026-09-17
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 Sr. Solutions Architect for Customer Lake will engage with clients to drive the adoption of Databricks' Customer Data Platform (CDP). This role involves providing technical leadership, conducting presentations and demos, and collaborating with marketing and data stakeholders to ensure successful implementations. The architect will also influence product development based on client insights and handle complex technical challenges to support customer success.
- benefits
- 1/5
- freshness
- 4/5
- 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
- 5+ years in a customer-facing, pre-sales, or consulting role influencing technical executives
- Minimum 2+ years of experience implementing modern data estate, CDP, and Lakehouse architectures
- Experience with design and implementation of data and AI applications for marketing and customer engagement
- Proficient in AI assisted programming, debugging, and problem-solving using SQL and Python
- Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP)
- Undergraduate degree (or higher) in a technical field such as Computer Science, Data Science, Applied Mathematics, Engineering or similar.
Nice to have
- Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations
- Deep experience in customer data and marketing analytics, with broad familiarity across data engineering, data warehousing, AI/ML for personalization, data governance, and streaming.
Worth weighing
- No specific benefits listed in the posting.
- Pay range provided is broad and varies by location, with no specific details on other compensation elements like bonuses or equity.
- Role involves significant client interaction and technical problem-solving, which may require strong interpersonal skills.
Summarised from Databricks's posting. Read the full original.
Listed by Databricks on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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