Solutions Engineer

This job posting is anticipated to remain open for 30 days, from 10-Dec-2025. The posting may close early due to the volume of applicants.

Join a financial services firm where your contributions are valued. Edward Jones is a Fortune 500¹ company where people come first. With over 9 million clients and 20,000 financial advisors across the U.S. and Canada, we’re proud to be privately‑owned, placing the focus on our clients rather than shareholder returns. Behind everything we do is our purpose:
We partner for positive impact to improve the lives of our clients and colleagues, and together, better our communities and society. We are an innovative, flexible, and inclusive organization that attracts, develops, and inspires performance excellence and a sense of belonging. People are at the center of our partnership. Edward Jones associates are seen, heard, respected, and supported. This is what we believe makes us the best place to start or build your career.

View our Purpose, Inclusion and Citizenship Report.

At Edward Jones we are developing a next‑generation data architecture to support our growing business. As part of the Data Management area, you will contribute to the design of a future‑state cloud‑based data warehouse architecture that will power Business Intelligence and Advanced Analytics across the firm. You will also act as a solutions engineer for new analytics efforts that involve data modeling and delivery.

Your designs will account for data movement, storage, compute, BI consumption, and will comply with security and data governance standards. You will work closely with a variety of partners within the Information Systems division, in addition to analytics customers across the firm.

• Solution Architecture & Design
  • Architect highly resilient and geo‑redundant data platforms leveraging Azure Databricks, Snowflake, and Azure Data Lake Storage.
  • Design disaster recovery and failover strategies using Azure Availability Zones, geo‑redundant storage accounts, and cross‑region replication.
  • Document architecture using Markdown, Git Hub, Erwin Data Modeler, and data flow diagrams.
  • Develop reference architectures, reusable patterns, and roadmaps to mature our data architecture practice.
  • Understand and translate business requirements to data strategies that align with overall technology vision.
• Data Modeling & Engineering
  • Create logical (semi‑dimensional, dimensional) and physical data models for cloud‑based platforms.
  • Implement data lakehouse architectures and optimize performance for large‑scale analytics workloads.
• Azure Infrastructure & Governance
  • Ensure compliance with enterprise data architecture standards, security policies, and cloud governance frameworks.
  • Apply Azure best practices for networking, identity, encryption, and monitoring.
  • Optimize cost, scalability, and performance of data platforms in Azure.
• Collaboration & Continuous Improvement
  • Partner with Product Owners, Analysts, and system/data stewards to understand requirements and upstream processes.
  • Identify opportunities to reduce technical debt and modernize technology stacks.
  • Participate in solution reviews and provide guidance on cloud‑native architecture patterns.

• Experience partnering with internal product development teams to ensure the right solutions for potentially large‑scale efforts.
• Cloud Expertise:
  Strong hands‑on experience with Azure Cloud services, including:
• Azure Databricks, Azure Data Lake Storage, Azure Synapse Analytics
• Geo‑redundant storage, Availability Zones, disaster recovery planning
• Azure Key Vault, Azure Monitor, Azure Dev Ops for CI/CD
• Data Architecture
  
  Skills:
• Logical and physical data modeling
• Data warehousing and analytics
• Familiarity with data governance and compliance frameworks
• Proven track record of championing innovation and change, and actively guiding the work of others.
• Broad knowledge of data technologies, tools, and disciplines including data modeling, dimensional models, third‑normal‑form structures, ETL/ELT, change data capture, slowly changing dimensions, and database tuning.
• Experience with Snowflake as a Cloud Data Warehousing platform.
• Minimum of eight years of experience working in…