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Data Services Manager
Ref No.: 17-03533
Location: Eden Prairie, Minnesota
Position Type:Full Time
Pay Rate : $ 120,000.00 - 160,000.00 /Year
Data Services Manager
$120,000-$155,000 / year
Eden Prairie, MN

Seeking an experienced infrastructure professional to lead our Data Services team. The ideal candidate will have experience designing and supporting large-scale, highly available, and distributed database systems. You will lead a team of Data Engineers focusing on traditional SQL, NoSQL, and Big Data infrastructure. The team partners closely with our application development, data science, and big data teams to cohesively design and deliver modern data architectures.

  • Provide technical leadership to the Data Services team
  • Partner with internal customers to understand, provide input, and support their data services needs
  • Help guide and evaluate data services technology and tool choices for the enterprise
  • Stay ahead of technology demand through industry awareness, technology experiments, and research and development activities
  • Partner with enterprise architecture, data science, and big data communities to create and communicate strategic roadmaps and engineering designs
  • Contribute architectural inputs and participate in infrastructure design to meet the changing requirements around scaling, reliability, performance, and management
  • Take ownership and accountability for the successful completion of data services projects
  • Ensure the data services platforms and architectures are maintained and enhanced to meet the evolving demands of the business and IT
  • Rapidly respond, resolve, drive to root cause, and implement preventative measures as incidents occur
  • Engage with employees to understand their career interest and help drive their performance
  • Maintain relationships and effectively interface with IT leaders, direct reports, business and technology customers, and vendors.

Required Qualifications
  • Passion for big data, machine learning, and building out modern infrastructure environments
  • Large scale structured database environments (MS SQL, Oracle)
  • Technically competent, hands-on capable, with the ability to quickly learn and understand enterprise data architectures
  • Infrastructure support and operations experience
  • Proven track record of developing talent and driving results
  • Collaborative in a team environment
  • Commitment to continuous learning and open source systems

Preferred Qualifications
  • SQL experience
  • Search service experience (e.g. Solr, Elastic Search, Hive, HBase)
  • Hadoop clusters, preferably in scaling clusters
  • Distributed computing with ETL experience
  • Linux operating systems
  • Lambda architecture + restful service deployment frameworks

Third Party Applications Not Accepted