Platform Engineer at Edward D. Jones in St. Louis, Missouri

Job Description:

At Edward Jones, we help clients achieve their serious, long-term financial goals by understanding their needs and implementing tailored solutions. To ensure a personal client experience, we have located our 15,000+ branch offices where our more than 7 million clients live and work.

In a typical branch office, a financial advisor meets with clients and receives branch office support, so they can focus on building deep relationships with clients. Headquarters associates in St. Louis, Tempe and Mississauga provide support and expertise to help U.S. and Canada branch teams deliver an ideal client experience. We continue to grow to meet the needs of long-term individual investors.

At Edward Jones we are developing a Next-Generation data architecture to support Analytic Insights.  In a Data Platform Engineering role, you will be challenged and be part of a team to find innovative solutions that will deliver the right method, standards, techniques and capabilities to support the growing number of data analytics use cases at Edward Jones. The data platforms and data movement tools and technology you will identify, iteratively deploy and manage as a team will set a new standard for agile data delivery, performance, practicality and scalability of the data platform on behalf of data scientists and analytics users and demonstrate creativity in solving problems.

What you'll do

• Deploy and manage data platforms and data movement solutions using infra as code (IaC) both in the Azure cloud and on-premise


• Build scalability, security, and performance into our data platforms to meet the growing needs of our analytics users


• Partner with agile data development teams and use DevOps methodologies to create automated, efficient CI/CD processes to reduce the time to promote, test and deploy code


• Partner with Information Security professionals to ensure data is secure both at-rest and in-flight


• Develop, test, deploy and maintain efficient reusable patterns of streaming and batch data ingestion pipeline architectures for our data engineers to use


• Evaluate vendor-supplied software, install and deploy them using IaC as needed for data ingestion use cases


• Integrate data platforms to leverage efficiencies and automation within the stack


• Document and maintain key architecture and coding standards for supported platforms


• Act as first line support for data platforms to maintain peak operating efficiency and ensure maximum uptime


• Ensure data platforms remain current to take advantage of the latest features and support


• Communicate status of assigned work to management and follows agile practices and procedures covered by precedents, standards, or policies


• Seek guidance when direction is needed and speak up about technology risks identified and own addressing them with the team


• Influence peers on the team with questions and insight


• Leverage agile strategies to understand and solve problems while collaborating on technical decisions


• Be open to learn, train and develop as a team

• Required-Must have experience with Collibra


• Preferred- Extensive experience working with MDM tools such as Informatica  ASG, Alation, etc.


• Preferred- Experience in management and tuning of data platforms like Azure native BLOB and ADLS storage and Snowflake


• Extensive experience in the deployment of data platforms and tools in a cloud environment


• Experience working with cloud provider tools and architecture (Azure or AWS)


• Experience using scripting languages such as JSON (preferred), javascript, bash, Pearl, PowerShell, SQL and/or Python


• Experience with a broad set of data ingestion and data pipeline patterns, and associated tools like (Qlik Replicate, Qlik Compose, DataBricks, Kafka, Matillion ELT and Snowflake Services)


• Experience with designing data ingestion solutions from a wide range of data sources and connections like mainframe DB2, Oracle, SaaS API connections, file transfer, batch processing and real-time streaming and Change Data Capture