Solutions Architect - Retail

Responsibilities: Own end-to-end technical strategy for accounts from discovery to deployment and growth Lead complex architecture discussions across data engineering, ML/AI, and real-time analytics Serve as trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins by demonstrating Databricks differentiation through custom solutions Develop an emerging technical specialization and become a go-to resource for the team Coordinate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions Provide structured feedback on customer requirements and competitive gaps to influence product direction

Key requirements: 6+ years in solutions architecture, data engineering, technical pre-sales, or senior hands-on technical role Strong coding proficiency in Python and SQL with live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture for scalable pipelines, streaming, lakehouse patterns, and cloud-native platforms Proficiency with the Databricks Platform and developing a technical specialization in a domain (e.g., real-time/streaming, ML/AI, data governance) Proven ability to lead architecture discussions with senior technical stakeholders (whiteboarding, design reviews, trade-off analysis) Experience with production deployments on public clouds (AWS, Azure, or GCP), including infrastructure, security, and governance Track record of driving platform adoption and consumption growth within accounts Excellent communication skills translating complex architectures to business value for technical and executive audiences Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience) excellent communication leadership in cross-functional settings ability to translate technical concepts to business value Python SQL distributed data systems