or apply directly on Databricks's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 20 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
As a Sr. Solutions Architect at Databricks, you will leverage your technical expertise to drive customer engagement and platform adoption for complex data challenges. Your role involves building executive-level relationships, leading architecture engagements, and mentoring junior team members. You will also orchestrate cross-functional teams to deliver tailored solutions and contribute to thought leadership in the field.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- 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
- 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role
- Expert-level coding proficiency in Python, SQL, and ideally Spark/PySpark
- Deep expertise in enterprise data architecture, including distributed systems at scale and cloud-native platforms
- Expert-level knowledge of the Databricks Platform or equivalent depth in competing platforms
- Declared technical specialization in areas such as real-time architectures or ML/AI platforms
- Proven track record of driving consumption growth and platform adoption in large accounts
Nice to have
- Databricks certifications
- Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company
- Published thought leadership such as blogs or conference talks
- Industry vertical expertise in telecommunications with executive-level credibility
Worth weighing
- No specific details on benefits provided in the posting
- The role requires significant technical expertise and experience, which may limit applicants without a strong background in data architecture and AI
- The interview process includes a live coding assessment, which may be challenging for some candidates
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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