Data Engineering Manager (hybrid opportunity) at Datasite in Minneapolis, Minnesota

Job Description:

Datasite is where deals are made. We provide the data rooms and SaaS technology used in M&A and other high-value transactions, to deliver projects in more than 170 countries. Carrying that success into the future is all about you. Your useful skills, your unusual experience, your unique ideas. Everyone here brings something unexpected. What's yours? Invest your talents in us, and we'll return the compliment.



Job Description:



We are seeking a Data Engineering Manager to join our innovative engineering team in a hybrid role based in Minneapolis, MN. This is a fantastic opportunity to work in a collaborative environment where you will lead a team that architects scalable data solutions, develops robust data pipelines, and makes high-quality data accessible at scale. As part of the engineering team, you'll solve complex data challenges, improve the data architecture, and contribute to cutting-edge projects that have a real impact on Datasite's data-driven strategy.


As a Data Engineering Manager, you will be at the forefront of planning and executing strategies that improve Datasite's data architecture, ELT/ETL processes, and data standards. You will lead a team that is focused on building reliable, scalable, and high-quality data solutions while collaborating across the organization to unlock the full potential of our data.



Key Responsibilities:

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  Strategic Leadership: Work closely with senior leadership and product teams to define the roadmap for new data initiatives and ensure organizational architecture standards align with delivering high-quality data.
  
  


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  Translate Business to Tech: Convert business requirements into actionable technical requirements that shape the development of scalable and reliable data pipelines.
  
  


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  Data Architecture & Standards: Drive initiatives that enhance and harden data architecture and standards to improve the quality, validity, and reliability of our data.
  
  


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  Source Discovery & Integration: Lead efforts to discover new data sources and integrate them into the platform, expanding the data capabilities across the organization.
  
  


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  Improve Data Observability: Propose and implement solutions that improve data observability, enabling better visibility and tracking of data processes across the organization.
  
  


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  Technical Documentation: Write and maintain clear documentation that communicates technical solutions to both technical and non-technical stakeholders.
  
  


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  Innovate with Tools & Technologies: Continuously explore and recommend new tools and technologies to optimize and enhance the data platform, staying ahead of the curve.
  
  


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  Ownership of Roadmap: Fully own the team's technical roadmap, balancing technical requirements with business priorities, and manage direct reports to ensure project success.
  
  

Qualifications:

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  Education & Experience: Bachelor's Degree or equivalent industry experience in Data Engineering, Data Architecture, or a related field, with 6+ years of experience. Expert proficiency with data warehouses, architecture, and lifecycle management.
  
  


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  Leadership: Proven experience as a team lead or manager, having led major technical initiatives, including data migrations, adoptions, or implementations.
  
  


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  Technical Expertise:
  
  
  
  
  
  • Strong familiarity with column-based storage systems like Snowflake.
    
    
  
  
  • Exposure to non-relational data, data structures, and NoSQL databases such as MongoDB.
    
    
  
  
  • Proficiency with multiple ELT/ETL tools and experience in Python programming.
    
    
  
  
  • Experience in data modeling and data governance is a plus.
    
    
  
  
  • Knowledge of BI tools is a bonus.
    
    
  
  
  
  


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  Scalability & Compute Needs: Experience accurately predicting scaling requirements and compute needs for large-scale data environments.
  
  


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  Data Lakes & AI/ML: Comfortable working with data lakes and integrating data stored across lakes, warehouses, and AI/ML processes.
  
  

What You'll Gain:

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  Impact: Directly influence and lead key data engineering initiatives that shape the future of the organization.
  
  


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  Collaboration: Work with a highly skilled team, solving some of the most exciting and challenging data problems in a collaborative, fast-paced environment.
  
  


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  Growth: Expand your leadership and technical expertise while working with cutting-edge data technologies and methodologies.
  
  


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  Hybrid Flexibility: Enjoy the benefits of working both remotely and in our Minneapolis office, giving you the flexibility to maintain a work-life balance while fostering in-person collaboration with your team.
  
  

If you're passionate about building scalable data solutions, leading a talented team, and working in a flexible, collaborative environment, we'd love to have you join us!


As a global organization, Datasite knows that diverse perspectives are essential to our success. We're committed to maintaining a diverse workforce to serve our customers around the world. Datasite is an equal opportunity employer (EEO) and furthers the principles of EEO through Affirmative Action. Apply Now