About This Role
This Solutions Architect role involves leading the technical strategy for customers, owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. The position combines deep technical expertise with strategic thinking to position Databricks as the foundation of customers' data and AI strategy, with a focus on developing a technical specialization within a specific domain.
Responsibilities
- Own the end-to-end technical strategy for accounts, from initial discovery through production deployment and consumption growth
- Lead complex architecture discussions, designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics
- Serve as a trusted technical advisor to customer architects, engineering leads, and Directors
- Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions
- Develop and declare an emerging technical specialization (archetype), becoming a go-to resource for the team in that domain
- Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs
- Influence product direction by providing structured feedback on customer requirements and competitive gaps
Requirements
- 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role
- Strong coding proficiency in Python and SQL, with demonstrated live coding, debugging, and solution-building skills
- Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms
- Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations)
- Proven ability to lead architecture discussions with senior technical stakeholders, including whiteboarding, design reviews, and trade-off analysis
- Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations
- Track record of driving platform adoption and consumption growth within accounts
- Excellent communication skills, able to translate complex architectures into business value for both technical and executive audiences
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)
Nice to have:
- Databricks certifications (Data Engineer, ML, Platform)
- Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse), understanding the landscape you'll position against
- Background in a data/AI company or cloud provider
- Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.)
Benefits
- Comprehensive benefits and perks that meet the needs of all employees
About the Company
Databricks is the Data and AI company, with more than 20,000 organizations worldwide, including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500, relying on its Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with over 30 offices globally, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.
