Manager, Data Engineering

Founded in 1967 by Bill Austin, Starkey is known for our cutting-edge hearing health innovations, industry-leading research and development, and not being afraid to push the edge of what's possible.

We are headquartered in Eden Prairie, Minnesota, have over 5,000 employees in 29 facilities across the globe, and do business in more than 100 markets worldwide.

Watch this video to see more of what sets Starkey apart: https://youtu.be/9cUYwTlCepg?si=wkovx8_R_iINfrc6

JOB SUMMARY DESCRIPTION / PRIMARY PURPOSE OF JOB

The Manager of Data Engineering is responsible for leading the design, development, and operations of Starkey's enterprise data engineering and core data warehouse. This role oversees data integration, transformation, and movement across cloud and onpremise platforms. This role manages a team of software developers and data engineers across experience levels and partners closely with sourcesystem and analytics teams to ensure data reliability and accessibility. The team provides 24/7 operational support for Starkey's headquarters and global facilities.

JOB RESPONSIBILITIES/RESULTS

Provide ongoing leadership, oversight and alignment of IT's data engineering services to meet business operational needs

Prioritize and lead the work of the team

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  • Prioritization of sprint tasks
  • Assist in estimating work from a planning perspective
  • Monitor team from a quality perspective and ensure processes are established and followed
  
  
  
  

Hire and develop direct reports

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  • Collaborate with employees and leadership to support career development and growth
  • Identify and provide learning opportunities to ensure the team remains current with evolving technologies
  
  
  
  

Lead the evolution of the Starkey core data warehouse

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  • Apply modern data architecture principles to enhance Starkey's data warehousing capabilities
  • Together with the Enterprise Analytics team, develop and execute a roadmap transitioning from traditional warehousing to a hybrid architecture with a data warehouse, data lake(s), and SaaS data services
  • Lead the team through this transition
  
  
  
  

Provide architectural/design guidance and support to data consumers

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  • Collaborate with the Enterprise Analytics team and other stakeholders to understand desired outcomes and propose solutions to achieve those results
  • Support data cataloging and other corporate data initiatives
  
  
  
  

Provide architectural/integration guidance regarding ETL and data sources

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  • Identify and anticipate source data requirements
  • Develop ETL architecture standards and policies and develop ETL processes for the organization
  • Support data quality standards and drive initiatives to cleanse data
  
  
  
  

Manage the team's interaction with internal customers and servicing of work requests and incidents

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  • Collaborate with business and IT partners to understand their needs and define data requirements and models.
  • Lead the collection of new data and the refinement of existing data sources to meet customer needs
  • Ensure follow-up with customers to certify that the resolution of problems maintains customer satisfaction.
  • Lead the establishment and maintenance of KPIs for team performance and service delivery
  
  
  
  

Stay current with data technologies

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  • Maintain expertise and vendor relationships in our primary data tools
  • Research and evaluate new technologies and recommend improvements
  • Mentor and coach peers on new technologies
  
  
  
  

JOB REQUIREMENTS

Education

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  • Bachelor's Degree in Computer Science or related field or equivalent experience required.
  
  
  
  

Experience

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  • 7+ years' experience as a Data Engineer, ETL Developer, Data Architect, or Database Administrator.
  • 4+ years' experience specifically with ETL and data warehousing.
  • 4+ years' experience in a manager or technical leadership role.
  
  
  
  

Knowledge / Technical Requirements

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  • Strong knowledge of databases and performance monitoring/management tools
  • Expertise in data warehousing techniques, design, and best practices
  • Knowledge of data lake/lakehouse concepts
  • Experience with cloud data platforms
  • Knowledge and technical skills in ETL techniques and tooling
  
  
  
  

Competencies, Skills & Abilities

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  • Strong organizational skills required.
  • Excellent written and verbal skills required.
  • High attention to detail required.
  • Strong interpersonal skills required.
  • Excellent technical writing skills required
  • Ability to lead through change and drive continuous improvement
  
  
  
  

WORK CONTEXT

Working Conditions

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  • Standard office environment. This position participates in a 24/7 on-call rotation. The rotation schedule varies based on team size
  
  
  
  

Salary and Other Compensation:

The target pay rate for this position is between $XX,XXX - XX,XXX annually. Factors which may affect starting pay within this range may include: geography/market, skills, education, experience and other qualifications of the successful candidate.

This position is eligible for monthly uncapped commissions in accordance with the terms of the Company's plan.

Benefits: The following benefits for this position, subject to applicable eligibility requirements, include medical, dental and vision insurance, 401(k) retirement plan with company match, company-paid life and short-term disability insurance, long-term disability insurance, employee assistance plan, hearing aid benefits, Paid Time Off, paid holidays, paid floating holidays, paid volunteer service day, paid paternity and maternity leave and tuition reimbursement.

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