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Databricks

Lead Solutions Architect - Strategic Customers

Databricks · London, United Kingdom

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
82 days
Databricks's roles stay open a median of 83 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
1112 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-25

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 will lead complex customer engagements, focusing on technical strategy and platform adoption for enterprise data and AI solutions. This role involves building executive relationships, mentoring junior team members, and orchestrating cross-functional teams to deliver enterprise-grade solutions. The architect will also contribute to thought leadership and competitive strategies while demonstrating deep expertise in the Databricks platform and related technologies.

Our read on this posting2.4out of 5
benefits
1/5
freshness
1/5
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, streaming/real-time, lakehouse design patterns, and data governance frameworks
  • Expert-level knowledge of the Databricks Platform or equivalent depth in competing platforms
  • Declared technical specialisation in areas such as real-time architectures, ML/AI platforms, or large-scale migrations
  • 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, conference talks, or open source contributions
  • Industry vertical expertise with executive-level domain credibility

Worth weighing

  • No specific salary or benefits details provided
  • Interview process includes a live coding assessment and platform build, which may be challenging for some candidates
  • Role requires significant experience and expertise, which may limit applicants to those with extensive backgrounds

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

Listed by Databricks on their greenhouse job board, last confirmed open on 2026-10-25. PitchMeAI is not the employer.

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