Solutions Architect - Digital Native Business (Geo)

Databricks • Connecticut, MA

1d • $180,000 - $247,500

About The Position

As a Solutions Architect for the Digital Native Business (Geo) team, you will lead customers’ technical strategy, 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 (archetype) and become a recognized source of expertise within your team.

You will own account technical strategy from discovery through production deployment and consumption growth. The role involves designing scalable, production-grade solutions across data engineering, ML/AI, and real-time analytics; building custom solutions to demonstrate Databricks’ differentiation in competitive situations; and coordinating internal and partner resources to address complex customer needs. You will also provide structured customer feedback to influence product direction.

The role requires strong Python and SQL skills, including live coding, debugging, and solution building; deep knowledge of distributed data systems; and experience deploying production workloads on a public cloud. You will lead architecture discussions with senior technical stakeholders and explain complex technical designs in terms of business value to technical and executive audiences.

The listed local pay range is $180,000–$247,500 USD. Compensation may include eligibility for an annual performance bonus, equity, and benefits. Actual compensation depends on factors including skills, experience, certifications, training, and work location. The role’s interview process is Recruiter Screen, Hiring Manager Screen, Design and Architecture Interview, Live Coding Assessment, Build, Demo, Pitch! Presentation, and Reference Check.

Requirements

• At least 6 years of experience in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
• Strong Python and SQL coding proficiency, 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 achieve proficiency rapidly, and 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 AWS, Azure, or GCP, including infrastructure, security, and governance considerations.
• Track record of driving platform adoption and consumption growth within accounts.
• Excellent communication skills and 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 at a data/AI company or cloud provider.
• Industry domain expertise, 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 across data engineering, ML/AI, and real-time analytics.
• Advise customer architects, engineering leads, and Directors on technical matters.
• Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions.
• Develop a technical specialization (archetype) and serve as a go-to resource for the team in that domain.
• Coordinate 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.
• Drive platform adoption and consumption growth within accounts.

Benefits

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

What This Job Offers

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