Delivery Solutions Architect - Digital Native Business

This is a technical, customer-facing role focused on architecture, technical strategy, and measurable customer outcomes.
You will partner with sales, solutions architecture, and field engineering teams to accelerate the adoption and growth of a modern data and AI platform.
The role involves guiding customers through complex technical decisions, from initial technical wins through production deployment and ongoing adoption.
You will design secure, governed, scalable architectures while balancing performance, reliability, cost, and long-term business needs.
You will also build prototypes, working solutions, and reusable technical assets that help accelerate delivery across strategic customer engagements.
Success requires strong technical judgment, stakeholder leadership, and the ability to align customer, partner, and internal teams without formal authority.
The position offers an opportunity to influence architecture and technical execution across complex data, analytics, cloud, and AI use cases.

• 5+ years of experience in solutions architecture, solutions engineering, technical consulting, professional services, data engineering, or a related technical discipline.
• Experience influencing technical strategy and architecture across complex customer use cases or multiple concurrent workstreams.
• Strong coding proficiency in Python, SQL, Scala, or similar languages, with the ability to build, debug, and validate technical solutions.
• Deep understanding of distributed data systems, data engineering, analytics, data warehousing, AI/ML, and modern cloud architectures.
• Experience designing secure, governed, scalable, and production-ready data solutions.
• Ability to solve ambiguous technical problems, assess trade-offs, and validate solutions through structured analysis or experimentation.
• Experience leading architecture discussions with technical leads, architects, and senior customer stakeholders.
• Strong understanding of operational excellence, including security, governance, performance, reliability, and cost optimization.
• Demonstrated ability to drive customer adoption, platform consumption, and measurable business outcomes through technical leadership.
• Strong stakeholder management and cross-functional leadership skills, with the ability to influence and align teams without formal authority.
• Bachelor’s degree in Computer Science, Engineering, or equivalent professional experience.
• Experience with Databricks or relevant certification is a plus.
• Developing expertise in areas such as AI/ML, data engineering, streaming, data warehousing, governance, or data migrations is a plus.
• Experience with AWS, Azure, or GCP and production cloud deployments is a plus.
• Experience creating reusable technical frameworks, demonstrations, or enablement materials is a plus.