Solutions Architect Strat Media

As a Solutions Architect you will lead the technical strategy for your customers owning architecture discussions driving platform adoption and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain.

The Impact You Will Have

• Own the end-to-end technical strategy for your 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 your 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

What We Look For

• 6 years in solutions architecture data engineering technical pre-sales or a senior hands-on technical role
• Strong coding proficiency in Python and SQL you must demonstrate 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 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
• Ability to travel to customers 30% of the time
• Bachelors or Masters 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 youll position against
• Background in a data/AI company or cloud provider
• Industry domain expertise (Financial Services Healthcare Retail Media etc.)

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