Cloud Solution Architecture - Data & AI

Customer and partner success Lead architecture reviews, technical strategy discussions, proof-of-concepts, and production deployments to accelerate adoption of data, analytics, AI, and modernization solutions. Guide customers and partners in implementing best practices for security, governance, reliability, performance, and operational excellence. Identify and resolve technical blockers that impact solution deployment, scalability, adoption, or customer success outcomes. Design, validate, and optimize enterprise-scale architectures leveraging Databricks, Azure Data Services, AI Services, and cloud-native technologies. Drive technical assessments, workload modernization initiatives, and architectural reviews for strategic customer and partner engagements. Develop reusable intellectual property (IP), reference architectures, technical guidance, and deployment accelerators that improve solution scalability and repeatability. Influence technology roadmaps and platform decisions by providing architectural leadership and industry expertise. Lead virtual teams to address complex technical challenges and deliver cross-functional solutions. Share customer and partner insights with Product and Engineering teams to influence product strategy and drive continuous improvement. Consumption and business growth Drive Azure consumption, Databricks adoption, and customer success metrics across assigned accounts and partner engagements. Help partners develop and scale differentiated solutions and services that create customer value and accelerate cloud adoption. Continuous learning and innovation Maintain deep expertise in Databricks, Azure, Data & AI technologies, industry trends, and competitive offerings. Demonstrate a growth mindset through continuous learning, technical skilling, and knowledge sharing. Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 9+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting. Deep expertise in Databricks, Apache Spark, Delta Lake, and modern Data & AI platforms, including data engineering, analytics, machine learning, and Generative AI workloads. Strong background in building and modernizing data platforms, including data lakes, data warehouses, streaming architectures, and advanced analytics environments. Demonstrated success in customer-facing architecture, consulting, technical sales, customer success, or solution delivery roles, supporting complex enterprise transformations. Solid understanding of cloud architecture and operational excellence, including security, identity, networking, governance, reliability, scalability, and performance optimization. Experience influencing and engaging with executive stakeholders, technical decision-makers, architects, and engineering teams to drive strategic outcomes. Deep understanding of digital transformation trends, cloud platforms, and emerging Data & AI technologies, with the ability to translate technology capabilities into business value. Proven ability to lead the design, implementation, modernization, or support of large-scale distributed applications, data platforms, and analytics solutions. Excellent communication, presentation, collaboration, and stakeholder management skills. - Databricks - Databricks Certified Data Engineer Professional Insightful listening: Uses cognitive and behavioral listening techniques, asks thoughtful questions to understand partner and customer needs, business drivers, and operating environments, and goes beyond surface-level responses to uncover root issues. Situational fluency: Demonstrates self-awareness, interprets verbal and non-verbal cues, and adapts customer conversations based on the business context, audience needs, and engagement dynamics. Relationship building and trusted advisership: Builds trust, establishes credibility, and uses relationship mapping across account teams and customer stakeholders to strengthen engagement quality and business impact. Well-Architected Framework and Cloud Adoption Framework foundations: Describes the five pillars of the Well-Architected Framework, explains how they are interconnected, applies Cloud Adoption Framework principles in cloud strategy and architecture conversations, and summarizes the relationship, commonalities, and differences between the two frameworks. Architecture design: Applies design thinking to create architectures that deliver customer value while incorporating policies, governance requirements, and existing customer systems into the overall solution framework. This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. *