Solutions Engineer - Technology

Job Description

The Data Platform Engineering team is seeking an experienced Solutions Engineer (Azure & Databricks) to drive our enterprise data modernization strategy. You'll architect and deliver scalable analytics solutions on Azure Databricks, enabling advanced analytics, data science, and AI across the enterprise. This role requires an architect-level mindset with hands-on capability to design end-to-end solutions while partnering with stakeholders to translate business problems into robust technical architectures.

• Lead scalable analytics solution design on Azure and Databricks, creating patterns for ingestion, transformation, and serving using Delta Lake while translating business requirements into actionable architectures and roadmaps.
• Design, implement, and manage secure Databricks platforms with workspace/cluster provisioning, resource optimization using Delta Lake and Photon, and establish reusable reference architectures.
• Automate provisioning via Terraform, Git Lab CI/CD, and scripting (Python, Bash, Power Shell) while building observability dashboards and operational readiness standards (monitoring, alerting, SLOs).
• Implement enterprise security policies, access controls, and compliance using Unity Catalog; design governance solutions for cataloging, lineage, access models, and data quality across domains.
• Partner with data scientists, ML engineers, and product teams to deploy analytical services, provide consultative guidance on architectural decisions, and resolve performance issues.
• Evaluate emerging Databricks capabilities, document best practices, mentor engineers, support on-call rotation, and enhance solution patterns for scalability and developer experience.

• Bachelor's degree in Computer Science, Information Systems, or related field preferred.
• 5+ years in Systems Administration with minimum 3 years hands-on experience designing, deploying, and managing Azure Databricks, ADLS, and related data solutions.
• Demonstrated experience architecting end-to-end scalable analytics solutions on Azure with Databricks, covering ingestion, processing, storage, governance, and consumption.
• Proven ability to create architecture artifacts (diagrams, reference architectures, decision records) and guide implementations aligned with enterprise standards.
• Proficiency in Terraform, Azure CLI, Databricks CLI, Power Shell, Python, REST API, and SQL for infrastructure automation and platform management.
• CI/CD and version control expertise with Git, Git Hub Actions, and related tools for automated, repeatable deployment workflows.
• Agile development experience working in cross-functional teams with iterative development and modern collaboration practices.
• Excellent communication skills to articulate complex designs and technical solutions clearly to stakeholders from technical teams to executives.

Candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office four days per week effective June 1, 2026. Before June 1, 2026, candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office three days per week, with preference for Tuesday through Thursday.

Edward Jones does not discriminate on the basis of race, color, gender, religion, national origin, age, disability, sexual orientation, pregnancy, veteran status, genetic information or any other basis prohibited by applicable law.