Enterprise Data Architect

The Rock Family of Companies is made up of nearly 100 separate businesses spanning fintech, sports, entertainment, real estate, startups and more. We’re united by our culture – a drive to find a better way that fuels our commitment to our clients, our community and our team members. We believe in and build inclusive workplaces, where every voice is heard and diverse perspectives are welcomed. Working for a company in the Family is about more than just a job – it’s about having the opportunity to become the best version of yourself.

Rocket Mortgage, backed by Rocket Companies®, means more opportunities for you to carve your own career path forward. From our desire to revolutionize the way people get mortgages to addressing challenges big or small with outside-the-box solutions, we’re not your typical employer. We’ll provide you with everything you need to make sure you’re successful here.  

Apply today to join a team that offers career growth, amazing benefits and the chance to work with leading industry professionals. 

Minimum Qualifications

• Bachelor’s degree in computer science, information technology, software engineering or a related field
• 7 years of experience in database administration, application development, data integration, data modeling and data management
• 7 years of experience with relational data modeling, big data modeling, conceptual data modeling and logical data modeling
• 5 years of experience with system architecture and normalization considerations
• Experience with enterprise architecture modeling languages or frameworks such as ArchiMate, TOGAF, SOA or CMMI 
• General experience with scripting and data language like Python, PowerShell, SQL and Bash

Preferred Qualifications

• 7 years of experience with data quality management, reference data management, master data management, ODS/graph management, enrichment and analytics, metadata management, integrations and service standards, data lakes or governance (architectural and technical)
• 5 years of experience with building data solutions
• 5 years of experience with inter-system communication strategies, including ESB and web services
• Master’s degree in computer science, information technology, software engineering or a related field preferred
• Knowledge of and experience with Open Group Standards
• Experience with Agile software development practices
• Experience with MapReduce syntax such as Hadoop stack

Job Summary

As an Enterprise Data Architect, you'll identify the data needs of the organization and designs and maintain blueprints based on those to assist in the guidance of data integration, control of data assets and alignment of data investments with the business strategy. You'll document multiple architectural models or views that show how the current and future needs of the organization will be met in an efficient, sustainable, agile and adaptable manner.

Responsibilities

• Create and evolve the technology road maps that define company data architectures and enable a solid company data strategy
• Ensure data solutions are built for performance, fault tolerance and security with reusable patterns
• Develop and share best practices for knowledge and data discovery to deliver impactful data-driven decision support systems
• Form and define best practices for change management, source control and deployment methodologies for big data solutions
• Identify and enable data capabilities across the company
• Design integrations with other data sources
• Research, analyze, and promote data standards to be used across the company
• Set and lead standards discussions among big data engineers, data scientists and other team members across the business
• Architect data solutions
• Identify and implement build vs. buy strategies regarding technology
• Identify performance trends and work with teams to improve processes and procedures
• Partner with the business and appropriate teams to deliver road maps
• Work with the team to build a holistic view of the company's strategy, processes, information and information technology assets
• Define best practices and internal guidelines
• Research new technologies
• Mentor team members and share best practices
• Capture program metrics

Benefits and Perks 

Our team members fuel our strategy, innovati