Databricks Solutions Architect, Pre-Sales

This is a fully remote position, open to applicants in Illinois, +2 more states.

📋 Description

• Take charge of the technical aspects of Databricks engagements from the initial client discussions to the signed contract and transition to delivery.

• Facilitate technical discovery sessions with client engineering, architecture, data, analytics, AI, and executive stakeholders.

• Create architectures for new Databricks platforms, migrations, modernization initiatives, and intricate data workloads.

• Define lakehouse and medallion architectures encompassing bronze, silver, gold, and downstream consumption layers.

• Develop solutions for data ingestion, transformation, orchestration, governance, security, and semantic layer patterns.

• Design data foundations that support BI, self-service analytics, Genie, ML, GenAI, RAG, and agentic AI applications.

• Convert technical requirements into project scope, delivery phases, assumptions, risks, resource plans, and estimates.

• Collaborate with sales and delivery leaders to craft proposals and statements of work.

• Construct and present technical demonstrations, proofs of concept, architecture workshops, and solution presentations.

• Develop reusable pre-sales materials, including demo environments, reference architectures, discovery frameworks, solution patterns, technical content, and estimation models.

• Work closely with Databricks account teams and solution architects on joint pursuits and co-sell opportunities.

• Ensure seamless transitions from pre-sales to delivery.

⛳️ Requirements

• Over 7 years of experience in data engineering, platform engineering, solution architecture, technical consulting, or similar roles.

• Extensive experience in consulting, professional services, systems integration, or technical pre-sales.

• Proven track record of managing the technical workstream for complex enterprise sales cycles.

• Strong expertise in Databricks architecture and implementation within enterprise environments.

• In-depth knowledge of modern data engineering, including Spark, SQL, Python, data pipelines, orchestration, data modeling, and distributed processing.

• Solid understanding of lakehouse architecture, medallion patterns, Unity Catalog, Delta Lake, governance, and security.

• Experience with data platform or warehouse migrations.

• Familiarity with semantic layers, analytics architectures, and the role of enterprise data platforms in supporting AI and ML workloads.

• Experience leading client discovery sessions, architecture workshops, solution design, demos, estimation, and scoping SOWs.

• Strong communication skills for engaging with clients, engineers, architects, data leaders, and executives.

• Databricks certifications are preferred.

🏝️ Benefits

• Remote work available within the United States.

• Occasional travel to client sites and partner events as required.

• Atlanta-based applicants have the opportunity to work at the headquarters located in Sandy Springs, GA.