Principal Solutions Architect (Databricks)
New
B
Blue Orange DigitalData engineering and AI
United StatesFull-TimePrincipal
SalaryBase salary plus a partnership performance bonus tied to Databricks-sourced pipeline and closed revenue.
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Job Details
- Experience
- Eight or more years in data engineering, data architecture, or platform engineering, with at least four years architecting on Databricks in production environments
- Required Skills
- AWSMLFlowSparkDatabricks
Requirements
- Have eight or more years in data engineering, data architecture, or platform engineering.
- Have at least four years architecting Databricks in production environments.
- Demonstrate Solutions Architect-level depth across the Databricks platform, including Unity Catalog governance, Photon, Spark performance, and Delta Lake layout and clustering.
- Have hands-on command of Spark, Delta Lake, Unity Catalog, Databricks Workflows, Delta Live Tables, MLflow, and Mosaic AI.
- Have fluency in at least one major cloud: AWS, Azure, or GCP.
- Have infrastructure-as-code experience.
- Have pre-sales experience leading technical discovery, authoring proposal architecture, and winning deals against competition.
- Have an enterprise delivery track record, including at least one large-scale migration to Databricks from a legacy warehouse, Hadoop, or a homegrown Spark platform.
- Have experience working with or inside a technology partner ecosystem.
- Be willing to travel roughly 25 percent for client work, partner meetings, and industry events.
Responsibilities
- Lead technical discovery and architecture sessions for Databricks opportunities.
- Design Lakehouse reference architectures covering Delta Lake, Unity Catalog, workflow orchestration, and Mosaic AI.
- Own technical proposal and SOW content, including architecture diagrams, migration approach, team composition, and effort estimates.
- Run proof-of-concept builds and technical bake-offs.
- Lead architecture on major Databricks engagements from kickoff through production handoff.
- Set technical direction for engagement teams and review designs and code.
- Resolve Spark performance, Delta Lake optimization, Unity Catalog governance, cost, and streaming architecture problems.
- Build and run the Databricks co-sell motion and advance partner tiers and specializations.
- Develop internal enablement, certification paths, and reusable architecture patterns.
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