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Sr. Solutions Architect - Public Sector (SLED)Databricks · Remote - California
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Databricks

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Sr. Solutions Architect - Public Sector (SLED)

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🗓️ Posted 2026-09-09 Remote - California Hybrid ICT
💰 Salary Not shared 📊 Market NA

About the Company

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). Software Development Specialties: Apache Spark, Apache Spark Training, Cloud Computing, Big Data, Data Science, Delta Lake, Data Lakehouse, MLflow, Machine Learning, Data Engineering, Data Warehousing, Data Streaming, Open Source, Generative AI, Artificial Intelligence, Data Intelligence, Data Management, Data Goverance, Generative AI, AI/ML Ops

About the Role

Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team.

Responsibilities

  • ● Partner with the sales team to help customers understand how Databricks can help solve their business problems.
  • ● Provide technical leadership for customers to evaluate and adopt Databricks.
  • ● Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications.
  • ● Build and present references architectures, how-tos, and demo applications for customers.
  • ● Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.
  • ● Travel to customers in your region.

Requirements

  • ● 8+ years in a customer-facing pre-sales, technical architecture, or consulting role.
  • ● Experience designing and architecting distributed data systems.
  • ● Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R.
  • ● Experience supporting Public Sector clients.
  • ● Have built solutions with public cloud providers such as AWS, Azure, or GCP.
  • ● Data Engineering technologies (Ex: Spark, Hadoop, Kafka).
  • ● Data Warehousing (Ex: SQL, OLTP/OLAP/DSS).
  • ● Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research) Desired .
  • ● US Citizen.