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Title:  Data Architect

Job ID:  1774
Location: 

Chicago, IL, US

Category:  Information Technology
Description: 

Donnelley Financial Solutions (DFIN) is a leader in risk and compliance solutions, providing insightful technology, industry expertise and data insights to clients across the globe. We’re here to help you make smarter decisions with insightful technology, industry expertise and data insights at every stage of your business and investment lifecycles. As markets fluctuate, regulations evolve and technology advances, we’re there. And through it all, we deliver confidence with the right solutions in moments that matter. 

Job Summary

We are looking for technical team members at all levels who want to push themselves to deliver best in market SaaS solutions. We offer a challenging environment where you will have to grow, adapt and use your skills consistently. Success will be the reward as we build solutions for the moments that matter for our customers. 

 

The Data Architect is responsible for delivering results for the Engineering department by: 

  • Envisioning the data architecture required to deliver our best of class products into a SaaS environment  

  • Ensuring that data is secure, fast, modeled, accessible and works with the software. 

  • Being a leader at DFIN who is both highly technical but also business savvy 

  • Actively participating in the engineering process- anticipating our future need

RESPONSIBILITIES

      Set Standards on Data Usage 

  • Set, communicate, and govern technical standards throughout the product development organization. This includes the standards for the data architecture itself and working closely with our delivery teams in setting standards of how the work gets done.

      Advance our Cloud Data Architecture 

  • Drive the creation and implementation of architecture standards and artifacts by working collaboratively with the Engineering leadership team and Chief Architect 

  • Collaborate with the Engineering team to develop the architecture, build the backlog, and adjust the design as necessary. Collaborate with the Product Management and Engineering Leadership team to make sure the voice of data architecture is part of our SaaS architecture. 

  • Solve difficult data modeling, optimization, location and other problems. 

  • Analyze the risks, benefits, and opportunities associated with the implementation of a solution. 

      Be Diligent about Planning and Design

  • Translate product requirements to system level architecture and high-level designs. Work with senior technical team (technical leads, principal engineers, etc.) to develop detailed designs. 

      Have a Flexible mindset 

  • Delivers solutions in small steps, with incremental feedback loop from internal and external stakeholders. Flexible and able to adjust or change direction as the business environment and technology universe evolves and changes. 

QUALIFICATIONS
  • Bachelor’s Degree or equivalent in Computer Science or related disciplines 

  • 15+ years of software development of commercial-grade systems and applications with a proven track record. 

  • Excellent Knowledge of the new technology trends and its applications for the new products in the market. 

  • Excellent Knowledge of Software Engineering Discipline, including hands-on knowledge of multiple data strategies, warehouses, ETL/ELT solutions. 

  • Considered an expert at SQL by peers 

  • Strong technical understanding of the Microsoft technology stack 

  • Proven experience assessing business requirements  

  • Strong leadership skills and ability to perform under pressure to deliver complex technical solutions 

  • Excellent communication skills with ability to relate with both technical and business professionals 

  • Full knowledge of and adherence to Software Development Life Cycle best practices 

  • In depth knowledge of Agile Project Development Methodologies 

It is the policy of Donnelley Financial Solutions to select, place and manage all its employees without discrimination based on race, color, national origin, gender, age, religion, actual or perceived disability, veteran's status, actual or perceived sexual orientation, genetic information or any other protected status. 

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