Solutions Architect
Leads customer-facing architecture and adoption of Databricks’ Genie product line across a local territory. The role partners with account teams and executives, architects governed analytics and AI solutions, and requires 6+ years of pre-sales or consulting experience plus SQL, Python, cloud, and data platform expertise.
About the job
Responsibilities
- Collaborate with go-to-market leadership and account teams to design and execute engagement strategies across the assigned territory.
- Serve as a trusted advisor and expert Solutions Architect, building technical credibility and driving product adoption.
- Enable customers through workshops and customer-facing collateral that increase technical knowledge and thought leadership.
- Translate field-derived, data-driven insights into recommendations for Product and Engineering teams.
- Act as a tier-3 escalation point for complex technical challenges in mission-critical customer environments.
- Partner with Account Executives to develop account strategies, presentations, demonstrations, and other adoption assets.
- Collaborate with Global System Integrators and third-party consulting organizations to drive customer outcomes.
Requirements
- 6+ years of experience in customer-facing, pre-sales, or consulting roles influencing technical executives and driving data strategy and product adoption.
- Experience with analytics, business intelligence, and natural-language or agentic AI products.
- Deep understanding of AI governance across tools and models, including guiding customers through security concerns and blockers.
- Experience architecting governed analytics solutions integrating semantic models, data warehouses, and metric layers within Lakehouse and AI ecosystems.
- Proficiency in programming, debugging, and problem-solving with SQL and Python.
- Hands-on experience building solutions in major public cloud environments such as AWS, Azure, or Google Cloud.
- Broad experience in at least two of the following areas: data engineering, data warehousing, business intelligence, AI, machine learning, governance, semantic modeling, natural-language analytics, and streaming.
- Undergraduate degree or higher in Computer Science, Applied Mathematics, Engineering, or a related technical field.
Benefits
- Comprehensive benefits and perks are offered, with details varying by region.
Skills
SQL, Python, AWS, Microsoft Azure, GCP, Ai Governance, Data Warehousing, Business Intelligence, Machine Learning, Semantic Modeling, Data Engineering, Streaming, Lakehouse, Metric Layers
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