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Databricks

Infrastructure & Platform Senior Specialist Solutions Engineer

Databricks · London, United Kingdom

Posted 13 days ago

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

As an Infrastructure & Platform Senior Specialist Solutions Engineer, you will act as a technical advisor for enterprise customers, guiding them through the lifecycle of Databricks deployments on AWS, Azure, or GCP. Your role involves architecting secure and scalable solutions, supporting competitive technical wins, and collaborating with cross-functional teams to address complex customer needs while providing feedback on product direction.

Our read on this posting3.0out of 5
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

  • 4+ years in solutions architecture, technical pre-sales, or a senior hands-on technical role
  • Strong expertise in cloud security controls, platform/network/data security, encryption, vulnerability management, compliance, and identity protocols
  • Experience with enterprise cloud networking and large-scale deployment management
  • Proficiency in platform administration including high availability, disaster recovery, and cloud cost management
  • Hands-on automation experience using IaC tools like Terraform and cloud-native tooling
  • Strong coding proficiency in Python and PySpark/Spark

Nice to have

  • Databricks certifications (Data Engineer, ML, Platform)
  • Cloud provider certifications at professional level
  • Experience with competitive platforms like Snowflake or Azure Synapse
  • Background in a data/AI company or cloud provider

Worth weighing

  • No specific salary or compensation details provided
  • Travel requirement of up to 30% may impact work-life balance
  • Role involves significant technical expertise and may require continuous learning and adaptation to new technologies

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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