Solutions Architect - Adtech

Databricks • United States, CA

1d

About The Position

As a Solutions Architect, you will lead the technical strategy for customers, own architecture discussions, drive platform adoption, and serve as a trusted advisor to customer technical leads and architects. You will combine technical expertise with strategic thinking to position Databricks as the foundation of customers’ data and AI strategies. You will develop a technical specialization, or archetype, and become a recognized resource in that domain within your team.

The role covers the end-to-end customer technical strategy, from discovery through production deployment and consumption growth. It involves designing scalable, production-grade solutions across data engineering, ML/AI, and real-time analytics; leading competitive technical engagements; coordinating cross-functional resources; and sharing structured customer feedback to influence product direction.

The interview process is Recruiter Screen, Hiring Manager Screen, Design and Architecture Interview, Live Coding Assessment, Build, Demo, Pitch! Presentation, and Reference Check.

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, including the ability to demonstrate live coding, debugging, and solution-building skills.
• Deep expertise in distributed data systems architecture, including scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
• Proficiency with the Databricks Platform, or demonstrated ability to achieve proficiency rapidly, with a developing technical specialization in an area such as real-time/streaming, ML/AI, data governance, or 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, with the ability to translate complex architectures into business value for technical and executive audiences.
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.

Nice To Haves

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

Responsibilities

• Own end-to-end technical strategy for accounts, from initial discovery through production deployment and consumption growth.
• Lead complex architecture discussions and design 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, including DSAs, SSAs, and Partners, to deliver comprehensive solutions for complex customer needs.
• Provide structured feedback on customer requirements and competitive gaps to influence product direction.

Benefits

• Databricks offers comprehensive benefits and perks intended to meet employees’ needs; specific benefits vary by region.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior