Data Architect - Eagle PACE

As a member of a product team, you will build a trusted, integrated, and scalable information infrastructure that transforms complex Investments data into valued insights for data-informed decisions. The role takes on a key part in building out ERS Investments data strategy to support strategic initiatives. It is an essential for the sustainability and advancement of the Investment Data Warehouse and optimization of Portfolio Management data applications. The candidate is capable of aiding report development and organizational adaption of Investment platforms and expected to contribute to agency s process improvement in its sustained data management program, including data quality, reporting, and change management activities.

Functional Responsibilities:

• A strong data integration background, with knowledge of Investment business operations (Front, Middle and Back-Office)
• Familiar with all aspects of the Eagle PACE warehouse, including scheduling, report writing, data stewardship, portal, and data model/schemas
• Familiar with Eagle v2017 Modules (Portfolio Data Center, Message Center, Automation Center, Scheduler, Workflow Manager, Reference Data Center, Recon Center, etc.)
• Builds complex SQL queries against base and aggregate tables
• Participates in the design, development, and integration of Investment databases
• Design, implement and deploy the data pipelines to transform (structure and map) vendor data into Investments systems.
• Stay current with data vendor product offerings and how they may be used by Investments and assisting with tool selection.
• Manage and enhance investment data infrastructure through initiatives such as improving data integrity and quality with every release
• Work in a fast-paced environment collaborating with business users, engineers, architects, and analysts.
• Maintain data management standards to ensure that new data entities get implemented in the data model using schemas that are appropriate for their use, facilitating good performance and analytics needs
• Perform Eagle maintenance release including pre and post data and software validation
• Provide input to our framework team for enhancing the tools we utilize
• Develops technical designs and specifications for complex file data pipelines/data flows and document file data migrations
• Leverage creativity to solve complex data and business problems
• Documents data dictionary and data mapping/transformation rules
• Works extensively with business analysts and investment professionals to analyze business problems
• Supports daily activity of the investment control systems areas by creating and maintaining custom reports and programs and by providing technical support for system and software issues
• Assists customer in creating and running test scripts for data loads and report development

Additional Skills:

• Prefer experience in general accounting, investment accounting, account reconciliation, and writing procedures
• Financial knowledge in investment banking and accounting.
• Understanding of data mart structures, ETL processes, and data warehousing concepts
• Desire to work in an Agile environment and use DevOps / DataOps practices such as continuous integration, continuous delivery, and continuous deployment
• Hands on and extensive experience with many of the following technologies: Crystal Reports, .Net (VB or C#), MS SQL Server, Oracle, MS Access/Excel. FIX, SWIFT, and XML, IWS/Eagle ML
• Strong communication, presentation and interpersonal skills
• Proficient ability to explain technical information to a non-technical audience
• Ability to learn new concepts, systems, and software independently and quickly
• Willingness to take initiative, seeing problems through to final completion
• The ability handle diverse situations and rapidly changing priorities with deadlines
• Demonstrated experience with implementation of Eagle STAR/PACE software upgrades.
• Strong aptitude for troubleshooting and problem solving

Minimum Requirements:

• Graduation from an accredited four-year college or university.

Each year of related experience over the required may be substituted for one year (30 semester hours) of required college credit

• 5 years data analysis and data modeling/architecture experience
• 5 years SQL experience
• 5 years experience designing and implementing ETL technical solutions for complex data models using multiple data sources
• 4 years of experience with Eagle database environment including schema architecture
• Strong communication and collaboration skills and good documentation habits.
• Demonstrated experience with orchestration and automation of database processes.
• 4+ years experience working in Eagle PACE as a data integrator implementing data pipelines.