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Senior Pre-Sales Solution Architect
Blue Orange DigitalSenior Pre-Sales Solution Architect designing and delivering AI/ML solutions for clients. Collaborating with executive stakeholders and hands-on technical work across multiple cloud platforms.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting and delivering data solutions across multiple cloud platforms, with a strong focus on Databricks and modern data tooling. Proven ability to lead technical sales, manage client relationships, and deliver production-grade code.
Highest-signal resume keywords
Data EngineeringDatabricks ExpertiseCloud Data PlatformsSales and Delivery ExperienceProposal and Scoping Ability
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringMachine LearningCloud Data PlatformsProduction SystemsSQLPythonDatabricksSnowflakeAWSGCP
Soft Skills
CommunicationClient-FacingLeadershipProblem-SolvingBuilder Mentality
Tools & Technologies
Databricks LakehouseDelta LakeUnity CatalogMLflowSparkDbtAirflowAWSGCPAzure
Industry Keywords
Technical SalePre-Sales Solution ArchitectConsulting Delivery LeadEngagement ScopingSOW Writing
Tech Stack
Tools & technologiesAirflowAWSAzureCloudGoogle Cloud PlatformPythonSparkSQLUnity
About the role
Key responsibilities & impact- This is a true seller-doer role. You own the technical sale, then help deliver the work you sold.
- You lead discovery, shape the architecture, build the proposal, and carry the technical narrative that wins the deal.
- Once the deal closes, you stay involved. You set the technical direction for the engagement, guide the delivery team through the first critical phases, and remain the trusted architect the client turns to.
- You architect across multiple vendors and cloud platforms, not a single-product demo. You design end-to-end architectures on Snowflake, Databricks, AWS, GCP, and Azure.
- You deliver. You stay on the account and write production-grade code, so the solution you scoped is the solution that ships.
Requirements
What you’ll need- Deep technical background: proven, hands-on experience in data engineering, ML, cloud data platforms, or analytics, with real production systems you have shipped, not just designed.
- Sales and delivery experience: a track record in a seller-doer, pre-sales solution architect, or consulting delivery lead role.
- Databricks expertise (required): hands-on, production depth on Databricks (Lakehouse, Delta Lake, Unity Catalog, MLflow, Spark).
- Working knowledge of Snowflake and at least one cloud (AWS, GCP, or Azure), plus modern data tooling (dbt, Airflow, Python, SQL).
- Executive and technical fluency: you can lead a discovery call with a CTO and a whiteboard session with their engineers, and be credible in both rooms.
- Proposal and scoping ability: experience scoping engagements, writing proposals or SOWs, and presenting solutions that win.
- Builder mentality: you communicate clearly, own outcomes end to end, and thrive in ambiguous, client-facing situations.
Benefits
Comp & perks- Health: medical, dental, vision, and life insurance.
- Retirement: 401(k) with company matching.
- Events and travel: all conference, event, client visit, and per diem expenses covered.