Cloud Solutions Architect - Azure Data & AI Solutions

Job description

Lead architecture reviews, technical strategy discussions, proofs of concept, and production deployments to accelerate adoption of Data, Analytics, AI, and modernization solutions. Identify and resolve technical blockers impacting deployment, scalability, adoption, or customer success outcomes. 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 accelerate customer value realization and cloud adoption.

Design, validate, and optimize enterprise-scale architectures leveraging Databricks, Azure Data Services, AI Services, and cloud-native technologies. Drive architectural reviews and strategic technology assessments for high-impact customer and partner engagements. Develop reusable intellectual property (IP), reference architectures, technical guidance, and deployment accelerators to improve scalability and repeatability.

Influence technology roadmaps and platform decisions through architectural leadership, industry knowledge, and customer insights. Maintain deep expertise in Databricks, Azure, Data & AI technologies, industry trends, and competitive offerings. Contribute technical thought leadership through customer success stories, best practices, and technical guidance.

Required

Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 4+ 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. OR equivalent experience This position is not eligible for visa sponsorship.

Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship. 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.

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. Guide customers and partners in implementing best practices for security, governance, reliability, performance, and operational excellence. Support production readiness, operational excellence, and long-term platform success through technical leadership and proactive engagement.

Lead virtual and cross-functional teams to address complex technical challenges and deliver integrated solutions. Build strong relationships across stakeholders to align technical strategies with business priorities and customer objectives. Share customer and partner insights with Product and Engineering teams to influence product strategy, roadmap priorities, and continuous improvement initiatives. Develop and contribute best practices, reusable assets, and technical enablement materials that improve field effectiveness and customer success.