Solutions Architect - Consumer Packaged Goods (CPG)

Databricks • Washington, DC

3d • $180,000 - $247,500

About The Position

As a Solutions Architect (L5), you will lead the technical strategy for customer accounts, own architecture discussions, drive platform adoption, and serve as a trusted advisor to customer technical leads and architects. You will combine deep 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 source of expertise in that domain within your team.

The role covers the end-to-end technical strategy for accounts, from discovery through production deployment and consumption growth. It involves designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics; building custom solutions that demonstrate Databricks’ differentiation in competitive situations; coordinating cross-functional resources; and providing structured customer feedback to influence product direction.

Requirements

• At least 6 years of experience 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.
• 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 become proficient rapidly, and a developing technical specialization in an area such as real-time/streaming, ML/AI, data governance, or migrations.
• Ability to lead architecture discussions with senior technical stakeholders, including whiteboarding, design reviews, and trade-off analysis.
• Experience with production deployments on public cloud platforms (AWS, Azure, or GCP), including infrastructure, security, and governance considerations.
• Track record of driving platform adoption and consumption growth within accounts.
• Excellent communication skills, including 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 in Data Engineer, ML, or Platform.
• Experience with competitive platforms such as Snowflake, AWS native services, or Azure Synapse.
• Background in a data/AI company or cloud provider.
• Industry domain expertise, for example in Financial Services, Healthcare, Retail, or Media.

Responsibilities

• Own the 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 across 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) and become 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

• Eligibility for an annual performance bonus.
• Equity.
• Comprehensive employee benefits and perks; specific offerings depend on region.

What This Job Offers

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