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Senior Solution Architect at Starburst Data. Location Information: United States. Starburst is on a mission to power analytics anywhere. We help companies quickly unlock the value of their data by making it easy to access.. Act as a senior technical advisor to strategic enterprise customers, helping them design and implement modern data architectures and solutions powered by Starburst.. Build custom solutions, working closely with engineering to develop field solutions in customer-facing projects.. Engage with executives across IT, data, and business teams, translating Starburst’s value into business impact and aligning platform strategy with organizational goals.. Define and articulate target-state architectures, including data products, lakehouse, distributed query engines, and cloud-native data platforms.. Develop technical strategy in strategic accounts, partnering with account teams to drive long-term vision, remove obstacles, and ensure successful adoption.. Guide customers through architectural reviews, best practices, governance models, performance considerations, and security patterns.. Influence and drive product direction, representing customer needs and industry trends to Engineering and Product Management.. Develop reference architectures, blueprints, and executive-level technical content that communicates best practices and Starburst’s strategic direction.. Evangelize modern data architecture principles, helping customers and partners understand how distributed data access, analytics acceleration, and AI workloads benefit from Starburst.. Deep expertise in modern data architectures, including data lakes, lakehouses, and data warehouses.. Strong understanding of cloud platforms (AWS, Azure, GCP) and hybrid/multi-cloud architecture patterns.. Executive presence and exceptional communication skills, with the ability to influence senior leaders across technical and business domains.. Demonstrated success guiding large-scale data platform transformations and working with enterprise customers.. Hands-on proficiency with SQL, data integration, performance tuning, or analytics engineering.. Ability to travel as needed for customer and industry engagements.. Expertise with kubernetes platforms like EKS, AKS, GKE, and Openshift.. Pay range:. $200K - $240K. Equity packages (ISOs). Comprehensive benefits offering. Competitive pay. Attractive stock grants. Flexible paid time off. Diverse and inclusive work culture