Databricks

Solutions Architect - Communications, Media, Entertainment and Games

Databricks
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3 hours ago
Remote, United States or Los Angeles, CA, USASenior
H1B Sponsor

Base Salary

$180k - $248k/yr

Responsibilities

  • Own end-to-end technical strategy for customer accounts from discovery through production deployment and consumption growth.
  • Lead complex architecture discussions and design scalable production solutions spanning data engineering, ML/AI, streaming, and real-time analytics.
  • Advise customer architects, engineering leads, and directors on technical strategy and trade-offs.
  • Drive technical wins and platform adoption through custom-built Databricks solutions and competitive positioning.
  • Develop a technical specialization and become a recognized domain resource within the team.
  • Orchestrate DSAs, SSAs, and partners to deliver comprehensive solutions.
  • Provide structured customer and competitive feedback to influence product direction.

Requirements

  • 6+ years of experience in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
  • Strong Python and SQL coding proficiency, including live coding, debugging, and solution building.
  • Deep expertise in distributed data systems, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
  • Proficiency with the Databricks Platform or the ability to become proficient rapidly, with a developing specialization such as streaming, ML/AI, data governance, or migrations.
  • Experience leading architecture discussions, whiteboarding, design reviews, and trade-off analysis with senior technical stakeholders.
  • Production deployment experience on AWS, Azure, or GCP, including infrastructure, security, and governance considerations.
  • Track record of driving platform adoption and consumption growth within customer accounts.
  • Excellent communication skills for explaining complex architectures to technical and executive audiences.
  • Bachelor’s or master’s degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.
  • Preferred qualifications include Databricks certifications, experience with Snowflake or Azure Synapse and AWS native services, and experience in a data/AI company or cloud provider.

Benefits

  • Comprehensive employee benefits and perks are offered, with region-specific details available separately.
  • The interview process includes recruiter screening, hiring manager screening, design and architecture interviewing, live coding, a build/demo/pitch presentation, and reference checking.

Tech Stack

Categories

Solutions Engineering
Databricks

About Databricks

5,001-10,000 employees

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).