Delivery Solutions Architect

Contract type
Ongoing
Work mode
Remote
Experience
Senior · 5+ years

Job description

A Delivery Solutions Architect at Databricks partners with Sales, Solutions Architecture, and Field Engineering to accelerate customer adoption and growth of the Databricks platform. The role is technical and customer-facing, focused on architecture, technical strategy, and customer outcomes.

At a glance

Work mode
Remote

What you'll do

  • Define and influence technical execution strategies across complex use cases and multiple workstreams within strategic accounts
  • Serve as a trusted technical advisor to customer technical leads and architects, leading architecture discussions and guiding technical decisions
  • Design secure, governed, and scalable Databricks architectures while balancing performance, cost, reliability, and long-term needs
  • Build and demonstrate working solutions, prototypes, and reusable technical assets that accelerate customer outcomes
  • Anticipate platform maturity and scaling needs and establish best practices for security, governance, and operational excellence
  • Drive adoption and consumption by influencing architecture, unblocking delivery, and connecting technical execution to business outcomes
  • Partner across Databricks, customer, and implementation teams to align resources, manage risks, and accelerate delivery
  • Mentor peers and contribute reusable technical guidance, frameworks, and enablement across the organization

What we're looking for

  • 5+ years in solutions architecture, solutions engineering, technical consulting, professional services, data engineering, or a related technical role
  • Experience in influencing technical strategy and architecture across complex customer use cases or multiple workstreams
  • Strong coding proficiency in Python, SQL, Scala, or similar languages, with the ability to build, debug, and validate technical solutions
  • Deep understanding of distributed data systems, data engineering, analytics, data warehousing, AI/ML, and modern cloud architectures
  • Experience designing secure, governed, scalable, and production-ready data solutions
  • Ability to solve ambiguous technical problems, evaluate trade-offs, and validate solutions through structured analysis or experimentation
  • Experience leading architecture discussions with technical leads, architects, and senior customer stakeholders
  • Strong understanding of platform operational excellence, including security, governance, performance, reliability, and cost optimization
  • Demonstrated ability to drive customer adoption, consumption, and measurable business outcomes through technical leadership
  • Strong stakeholder management and cross-functional leadership skills, with the ability to align teams without formal authority
  • Bachelor's degree in Computer Science, Engineering, or equivalent experience

Nice to have

  • Databricks experience or certification
  • Developing expertise in a technical specialization such as AI/ML, data engineering, streaming, data warehousing, governance, or migrations
  • Experience with AWS, Azure, or GCP and production cloud deployments
  • Experience creating reusable technical frameworks, demos, or enablement that scale across teams

Benefits

  • Comprehensive benefits and perks that meet the needs of all employees

Apply

About Databricks

The Data and AI company

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform 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 platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.

Mission

Empower our customers to solve the world's toughest data and AI problems by utilizing the Databricks Data Intelligence Platform

Key facts

  • San Francisco
  • More than 20,000 organizations worldwide rely on the Databricks Data + AI Platform
  • 70% of the Fortune 500 rely on Databricks
  • 30+ offices around the globe
  • Unified platform includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog

Partners & customers

adidasBayerBlockMastercardRivianUnilever