Position Details
About this role
Solutions Engineer - Technology at Edward Jones drives enterprise data modernization by delivering scalable analytics on Azure Databricks, enabling data science and AI across the organization.
Key Responsibilities
- Lead scalable analytics solution design on Azure and Databricks
- Design and manage secure Databricks platforms with workspace/cluster provisioning, Delta Lake, and governance
- Automate provisioning via Terraform, GitLab CI/CD, and scripting
- Implement enterprise security policies, Unity Catalog governance
- Partner with data scientists, ML engineers, and product teams to deploy analytic services and resolve performance issues
Technical Overview
Architectural focus on end-to-end analytics: ingestion, processing, storage, governance, and consumption using Delta Lake; automation via Terraform, GitLab CI/CD, and scripting; security/governance via Unity Catalog.
Ideal Candidate
The ideal candidate is a mid- to senior-level solutions engineer with 5+ years designing Azure Databricks data platforms, Delta Lake governance, and Terraform-driven infrastructure, capable of collaborating with data scientists and product teams.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of 5+ years of relevant analytics/platform experience, No Azure Databricks or Delta Lake experience, No Terraform or CI/CD automation experience
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