Solutions Architect - Digital Native Business (Geo)
Databricks · Connecticut; Remote - Massachusetts; Remote - New York; Remote - Pennsylvania
About this role
**Solutions Architect - Digital Native Business (Geo)** ## 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 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 your team. - 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** (demonstrate 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 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, 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—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 Have - 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.). ## Interview Process Recruiter Screen → Hiring Manager Screen → Design & Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check ## Pay Range Transparency (Local) **$180,000 — $247,500 USD** ## About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. ## Benefits & Commitment - Benefits vary by region (details available via the provided link in the original posting). - Databricks is committed to diversity and inclusion and equal employment opportunity. - Compliance note: if export-controlled technology/source code access is required, licensing may be required and the employer may decline to proceed based on that determination.
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