[Hiring] Lead Solutions Engineer @Aimpoint Digital

Role Description

As a Databricks Solutions Architect, Pre-Sales, you will own the technical portion of the sales cycle end-to-end for Databricks opportunities, from initial discovery through solution design, scoping, proposal development, technical validation, and handoff to delivery.

• Partner with sales, alliance, and delivery teams to understand client needs.
• Design the right technical solution and translate that solution into a credible and executable consulting engagement.
• Work across platform implementations, migrations, lakehouse architecture, data engineering, semantic layers, analytics, and AI use cases.
• Ensure strong technical depth in data and platform engineering.

What You Will Do

• Own the technical portion of Databricks pursuits from first client conversation through signed engagement and transition to delivery.
• Lead technical discovery with client engineering, architecture, data, analytics, AI, and executive stakeholders.
• Design architectures for new Databricks platforms, migrations, modernization programs, and complex data workloads.
• Define lakehouse and medallion architectures across bronze, silver, gold, and downstream consumption layers.
• Solution 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 use cases.
• Translate technical requirements into project scope, delivery phases, assumptions, risks, resource plans, and estimates.
• Partner with sales and delivery leaders to develop proposals and statements of work.
• Build and deliver technical demos, proofs of concept, architecture workshops, and solution presentations.
• Create reusable pre-sales materials, including demo environments, reference architectures, discovery frameworks, solution patterns, technical content, and estimation models.
• Work directly with Databricks account teams and solution architects on joint pursuits and co-sell opportunities.
• Ensure clean handoffs from pre-sales into delivery.

Qualifications

• 7+ years of experience in data engineering, platform engineering, solution architecture, technical consulting, or related roles.
• Significant experience in consulting, professional services, systems integration, or technical pre-sales.
• Demonstrated experience owning the technical workstream of complex enterprise sales cycles.
• Strong Databricks architecture and implementation experience in enterprise environments.
• Deep knowledge of modern data engineering, including Spark, SQL, Python, data pipelines, orchestration, data modeling, and distributed processing.
• Strong understanding of lakehouse architecture, medallion patterns, Unity Catalog, Delta Lake, governance, and security.
• Experience with data platform or warehouse migrations.
• Understanding of semantic layers, analytics architectures, and how enterprise data platforms support AI and ML workloads.
• Experience leading client discovery, architecture workshops, solution design, demos, estimation, and SOW scoping.
• Strong client-facing communication skills across engineers, architects, data leaders, and executives.
• Databricks certifications preferred.

Location

This is a full-time, remote role within the United States, with travel to client sites and partner events as needed. Priority evaluation provided for candidates based in New York City, Chicago, and Houston/Dallas. Atlanta-based applicants will have the opportunity to work in our headquarters in Sandy Springs, GA.