Solutions Architect

As a Solutions Architect at Databricks, you will lead technical strategy for customers, owning architecture discussions, driving platform adoption, and serving as a trusted advisor. You will develop a technical specialization (archetype) and be recognized for depth in a specific domain.

• Own end-to-end technical strategy for accounts, from 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 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).
• Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions.
• Influence product direction by providing structured feedback on customer requirements and competitive gaps.

• 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 live coding, debugging, and solution-building skills.
• Deep expertise in distributed data systems architecture: scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
• Proficient on the Databricks Platform (or ability to achieve proficiency rapidly) with a developing technical specialization (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.
• Track record of driving platform adoption and consumption growth.
• Excellent communication skills, able to translate complex architectures into business value.
• Ability to travel to customers 30% of the time.
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience).

• Databricks certifications (Data Engineer, ML, Platform).
• Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse).
• Background in a data/AI company or cloud provider.
• Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.).

Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check

Pay range: $180,000—$247,500 USD (all zones). Total compensation may include annual performance bonus, equity, and benefits. Databricks offers comprehensive benefits and perks; specific details vary by region.