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Databricks

Solutions Architect - Communications, Media, Entertainment and Games

Databricks · Remote - Pennsylvania

Posted 20 days ago

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 Solutions Architect at Databricks, you will lead the technical strategy for customers in the communications, media, entertainment, and games sectors. Your role will involve owning architecture discussions, driving platform adoption, and serving as a trusted advisor to technical leads. You will design scalable solutions across data engineering, ML/AI, and real-time analytics, while also developing a technical specialization within your team.

Our read on this posting2.8out of 5
benefits
1/5
freshness
4/5
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

  • 6+ 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
  • Pay range provided is broad and 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 2026-09-17. PitchMeAI is not the employer.

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