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Big Data Architect

Big Data Architect

Company 
Quicken Loans Inc.
Location 
US-MI-Detroit

Position Details

Who We Are

Transform an Industry. Transform Your Career.

 

We’re constantly innovating the mortgage industry, so we’re constantly looking for flexible, curious minds that thrive when collaborating to solve complex problems.

 

And once those problems are solved, they’re ready for whatever’s next.

 

On the Technology team, when you’re not busy revolutionizing the mortgage industry with the technology that you create, you’ll get personal time each week to work on whatever tech projects you want.

 

If you’re ready to transform an industry and transform your career, we want to hear from you. 

 

What You'll Do/Need

The Big Data Architect sets best practices and standards for executing solutions surrounding big data anddistributed platforms. This person draws upon an advanced understanding of big data technologies,software engineering, distributed system and business intelligence to ensure that best practices andmethodologies support business demands and provide actionable insights. Additionally, the Big DataArchitect sets the standards for processing high velocity/volume structured and unstructured data setsusing distributed computing methods.

 

 Responsibilities

  • Establish best practices for big data platforms that are scalable, enterprise data solutions and ensure that sound methods are used for quality assurance
  • Develop best practices for knowledge and data discovery to deliver impactful data-driven decision support systems, while leading big data engineers to technical success by understanding andapplying best practices
  • Take ownership of defining best practices for change management, source control and deployment methodologies for big data solutions
  • Set and lead standards discussions among Big Data EngineersData Scientists and other Data Engineers across IT
  • Promote best practices, guide the team to follow them, and collect and incorporate feedback based on team experiences to improve practices

Requirements

  • Master’s degree in computer science or other applied science field or equivalent relevanexperience
  • Five years of experience building data solutions in an EDW or big data environment in a businesssetting, with at least two years spent in the mortgage industry
  • Advanced experience in software engineering, algorithm design and complexity
  • Experience with the Hadoop ecosystem and most ecosystem tools, as well as experleveexperience with NoSQL modeling techniques, non-structured data formats like Avro and Parquet,
  • Indepth knowledge of machine learning techniques and the data mining development lifecycle,with experience developing automated data-driven decision support solutions
  • Working knowledge of standard querying with SQL
  • Expert in at least one general programming language like Java, Python, or C/C++, with strongUnix scripting skills
  • Advanced hands-on experience with Microsoft Office software

What You'll Get

  • Excellent benefits package that includes a 401(k) match, medical/dental/vision, and much more
  • Opportunities to participate in professional and personal development programs, including personal empowerment coaching, leadership training and ongoing personal growth training
  • Other incentives, contests and rewards, including trips, event tickets, cash prizes and more

Why We're Different

 

Corporate politics not your strong suit? The anti-corporate culture of Quicken Loans gives our team members the initiative to build solutions together and grow both personally and professionally. At Quicken Loans, we’re in the business of putting roofs over our clients’ heads, but we certainly aren’t putting ceilings on our team members’ careers. If you’re interested in working in a place with a philosophy that’s truly different, apply today.

 

Quicken Loans is an equal opportunity employer.

 

Quicken Loans received the highest numerical score in the proprietary J.D. Power 2010 – 2016 Primary Mortgage Origination studies and the 2014 – 2016 Primary Mortgage Servicer studies. 2016 Origination (or Sales) based on 5,182 total responses and measures experiences and perceptions of consumers who originated a new mortgage, surveyed in July – August 2016. 2016 Servicing based on 7,542 total responses and measures experiences and perceptions of consumers with their current mortgage servicer, surveyed in March – April 2016. Your experiences may vary. Visit JDPower.com.​

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