Note: The job is a remote job and is open to candidates in USA. Aimpoint Digital is a data, AI, and analytics consulting firm that helps organizations build modern data platforms, analytics solutions, and production AI applications. The Lead Solutions Engineer, Pre-Sales will own the technical portion of Databricks sales cycles, leading discovery, architecture design, scoping, proposals, technical validation, and handoff to delivery. The role partners with sales, alliance, and delivery teams across data engineering, analytics, migrations, lakehouse architecture, and AI use cases.
Responsibilities
- 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 that help clients understand and validate the proposed approach
- 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 so project teams inherit clear architecture, scope, assumptions, and client context
Skills
- 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
- This is a full-time, remote role within the United States, with travel to client sites and partner events as needed
- Databricks certifications preferred
- Priority evaluation provided for candidates based in New York City, Chicago, and Houston/Dallas
Benefits
- Full-time, remote role within the United States
- Travel to client sites and partner events as needed
- Atlanta-based applicants will have the opportunity to work in our headquarters in Sandy Springs, GA
Company Overview
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