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Databricks

Sr. Solutions Engineer - Public Sector (DoW - 4th Estate)

Databricks · Maryland; Virginia; Washington, D.C.

Posted about 3 months ago

or apply directly on Databricks's site. We never take the application ourselves.

Is this posting real?

This role has been open
103 days
Databricks's roles stay open a median of 103 days
Reposted
No
Salary listed
No
0% of Databricks's roles list one
Ghost-job risk at Databricks
high
879 stale, 25 reposted of 879 open
Hiring momentum
207 roles opened in the last 90 days
↓ down vs. the prior 90 days
Last confirmed on the employer's board
2026-11-14

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 Solutions Architect at Databricks, you will lead the technical strategy for customers in the public sector, focusing on architecture discussions, platform adoption, and serving as a trusted advisor. Your role involves designing scalable solutions across data engineering, ML/AI, and real-time analytics, while collaborating with cross-functional teams to meet complex customer needs and influencing product direction based on customer feedback.

Our read on this posting2.2out of 5
benefits
1/5
freshness
1/5
career value
4/5
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

  • 7+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role
  • Strong coding proficiency in Python and SQL
  • Deep expertise in distributed data systems architecture
  • Proficient on the Databricks Platform or ability to achieve proficiency rapidly
  • Proven ability to lead architecture discussions with senior technical stakeholders
  • Experience with production deployments on public cloud (AWS, Azure, or GCP)

Nice to have

  • Databricks certifications (Data Engineer, ML, Platform)
  • Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse)
  • Background in a data/AI company or cloud provider
  • Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.)

Worth weighing

  • No specific benefits listed in the posting
  • Local pay range provided, but actual compensation may vary based on multiple factors
  • Interview process includes multiple stages, which may be time-consuming

Summarised from Databricks's posting. Read the full original.

Listed by Databricks on their greenhouse job board, last confirmed open on 2026-11-14. PitchMeAI is not the employer.

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