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IT Manager, Data Engineering

Company Description

At Brightspeed, we are reimagining how people live, work, play and connect by providing fast, reliable internet connections and an awesome customer experience in twenty states throughout the Midwest and South.

Backed by funds managed by Apollo Global Management, our vision is to accelerate the upgrade of copper to fiber optic technologies, bringing faster and more reliable internet service to many rural markets traditionally underserved by broadband providers, while delivering best-in-class customer experience.  

Be a part of the team that will make this vision a reality….designing and building a world class fiber network and creating a customer experience second to none.

Check us out on the web!  

Job Description

We are looking for an IT Manager, Data Engineering to join our growing team! In this role, you will lead a team of data engineers responsible for designing, building, and optimizing scalable data pipelines and solutions on Google Cloud Platform (GCP), with a strong focus on BigQuery as our enterprise data warehouse. You will drive the development of robust ETL/ELT processes, ensure high data quality and performance, and partner with analytics, product, and platform teams to enable data-driven decision-making across the organization. You will be at the center of advancing our modern data stack and supporting real-time and batch data use cases at scale.

As an IT Manager, Data Engineering, your duties and responsibilities will include:

  • Lead the design, development, and optimization of data pipelines to ensure efficient, reliable, and scalable data collection, processing, and integration
  • Oversee the creation and maintenance of data architectures, including databases, data warehouses, and data lakes
  • Manage the integration of various data sources (internal and external) to ensure seamless and unified data for analytics
  • Oversee the design, deployment, and maintenance of the data warehouse, ensuring its optimal performance and scalability
  • Collaborate with cross-functional teams to gather requirements and develop solutions to meet business needs
  • Lead and manage a team of data engineers and analysts, providing guidance and support
  • Oversee the deployment and monitoring of AI/ML models, ensuring they are delivering actionable insights and adding value to business processes
  • Work closely with IT, product, and business teams to align on data infrastructure and analytics needs

Qualifications

WHAT IT TAKES TO CATCH OUR EYE:

  • Bachelor’s or Master’s Degree in Computer Science, Information Technology, or a related field
  • 8+ years of experience in managing data platforms, preferably in a cloud-based environment with a focus on GCP and data warehousing, designing, building, and supporting real-time and batch data pipeline and analytical solutions
  • 5+ years of experience in Data Warehousing and Information Management, with at least 2 years of people management experience
  • Experience with Google Cloud Platform (GCP) and relevant certifications (e.g., Google Professional Data Engineer) would be a significant advantage
  • Familiarity with data warehousing technologies and techniques, including data lakes, and integration tools
  • Experience in data integration, transformation, and data pipeline orchestration
  • Proficiency in data modeling, schema design, and normalization
  • Strong knowledge of ETL (Extract, Transform, Load) processes, data integration, and automation.
  • Expertise in data warehouse technologies (e.g., BigQuery, Snowflake, Redshift, etc.)
  • Strong leadership and team management skills
  • Excellent problem-solving abilities and the capability to make data-driven decisions
  • Understanding of data governance, security, and compliance requirements
  • Excellent communication and collaboration skills for cross-functional team interactions

BONUS POINTS FOR:

  • Telecommunications experience
  • Google Cloud Platform certifications
  • Experience in implementing data pipelines and ETL processes
  • Familiarity with machine learning and data analytics

 

#LI-SS1

Additional Information

WHY JOIN US?

We aspire to contemporary ways of working.

Recognized as a Top Workplace by the Charlotte Observer, Brightspeed HQ is located on the 7th floor of the new Vantage South End - East Tower in Charlotte, NC. We prioritize hiring talent in the Charlotte area, whenever possible, to make it a truly vibrant destination for our hybrid workforce. At Brightspeed, we have roles that are designated as remote, hybrid, office or field-based, depending on the position, business needs and individual circumstances. We also invest in technology that enables our entire team to stay connected. Why? Because Brightspeed recognizes the value of finding the best talent for the job, wherever they may be.

We offer competitive compensation and comprehensive benefits.

Our benefits and paid time off programs reflect our underlying belief in promoting overall wellness through physical, emotional and financial health. Brightspeed offers a comprehensive benefit program, including competitive medical, dental, vision, and life insurance; an employee assistance program; a 401K plan with company match and a host of voluntary benefits. 

Diversity, equity and inclusion are at the center of our grounding belief in Being Real. 

When we bring our authentic selves to work, everyone is better as a result. A diverse team helps us be fierce advocates for more accessible, inclusive and high-quality internet, because we believe doing so promotes equity in the communities we serve.

Brightspeed is an Equal Opportunity Employer/Veterans/Disabled

For all applicants, please take a moment to review our Privacy Notices:  

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CEO of Brightspeed
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Tom Maguire
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Average salary estimate

$135000 / YEARLY (est.)
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$120000K
$150000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About IT Manager, Data Engineering, Brightspeed

At Brightspeed, we're creating a new frontier in seamless connectivity with our high-speed internet services, and we're looking for an enthusiastic IT Manager, Data Engineering to join our dynamic team. If you're passionate about technology and ready to lead a group of skilled data engineers, then this might be the perfect opportunity for you! In this remote position based in Charlotte, NC, you’ll have the chance to design and optimize scalable data pipelines using Google Cloud Platform (GCP), with a primary focus on BigQuery as our enterprise data warehouse. Your role will be crucial in implementing robust ETL processes and ensuring data quality, allowing our organization to harness the power of data-driven decisions. You'll work hand-in-hand with cross-functional teams to identify business needs and develop customized data solutions. As a leader, you'll manage a talented team, overseeing data architecture creation and maintenance, guaranteeing optimal performance of our data environment. If you have a strong background in cloud-based data management and are eager to make an impact in advancing our modern data stack, Brightspeed could be your next great adventure. You'll also be responsible for deploying and monitoring AI/ML models, contributing to insights that drive innovation and efficiency within our processes. Join us in shaping a more connected world – together, we can enhance the way people live, work, and connect!

Frequently Asked Questions (FAQs) for IT Manager, Data Engineering Role at Brightspeed
What are the responsibilities of the IT Manager, Data Engineering at Brightspeed?

As the IT Manager, Data Engineering at Brightspeed, your primary responsibilities include leading the design and optimization of scalable data pipelines, overseeing data architecture, and managing data integration processes. You’ll also collaborate across teams to develop solutions that meet business needs and ensure data quality, all while guiding a talented team of data engineers.

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What qualifications are required for the IT Manager, Data Engineering position at Brightspeed?

To be a successful IT Manager, Data Engineering at Brightspeed, candidates should possess a Bachelor’s or Master’s Degree in Computer Science or Information Technology, alongside 8+ years of experience in managing data platforms, specifically in cloud environments like Google Cloud Platform. Proficiency in data warehousing, ETL processes, and strong leadership skills are essential for this role.

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What technologies do IT Manager, Data Engineering candidates at Brightspeed need to be familiar with?

Candidates applying for the IT Manager, Data Engineering position at Brightspeed should be well-versed in Google Cloud Platform (GCP), particularly with BigQuery and other data warehouse technologies such as Snowflake or Redshift. Familiarity with data pipelines, transformation tools, and machine learning implementations are also beneficial.

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What kind of team environment can an IT Manager, Data Engineering expect at Brightspeed?

At Brightspeed, the IT Manager, Data Engineering will be part of an inclusive and collaborative team environment. You’ll work closely with cross-functional teams and will have a significant opportunity to lead and mentor your team of data engineers, fostering a culture of innovation and continuous improvement.

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What are the growth opportunities for the IT Manager, Data Engineering at Brightspeed?

Brightspeed promotes professional development and career advancement for the IT Manager, Data Engineering. With a strong focus on innovation and cutting-edge technology, there are numerous opportunities to develop expertise in new areas, lead major projects, and take on additional responsibilities as the company continues to grow.

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Common Interview Questions for IT Manager, Data Engineering
Can you describe your experience with Google Cloud Platform in data engineering?

When answering this question, highlight specific GCP projects you've worked on, detailing your role in data pipeline design and any challenges you overcame. Be sure to mention tools like BigQuery and how you utilized them for data management and warehousing.

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What strategies do you employ to ensure the quality of data in your pipelines?

Discuss your experience implementing validation checks and automation processes in your data pipelines. Highlight specific tools and frameworks that you've used to maintain data integrity and consistency across systems.

Join Rise to see the full answer
How do you approach team management in a data engineering context?

Elaborate on your leadership style and philosophy, emphasizing mentorship, empowerment, and collaboration. Discuss how you facilitate team growth while aligning team efforts with organizational goals, especially in data engineering projects.

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What is your experience with ETL and ELT processes?

Provide examples of ETL and ELT processes you have designed or managed. Discuss the specific projects you’ve overseen, tools you’ve utilized, and how those processes enhanced data usability or business insights.

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How do you keep your knowledge about data technologies current?

Share specific methods you use to stay updated, such as attending webinars, participating in professional networks, or enrolling in online courses. Discuss specific technologies you’ve recently learned about and how they could potentially benefit your role.

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Can you explain how you have integrated multiple data sources in the past?

Discuss a specific project where you needed to integrate internal and external datasets. Explain the challenges faced, the tools used for integration, and how this integration added value for the organization.

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What key metrics do you track to assess the performance of data pipelines?

Identify metrics such as data latency, throughput, error rates, and overall data load times. Discuss how you utilize these metrics for ongoing monitoring and optimization of the data pipeline performance.

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How do you handle failures or issues in data processing?

Provide a detailed anecdote about a time when you faced a data pipeline failure. Explain how you diagnosed the issue, the steps you took to resolve it, and how you implemented safeguards to prevent future occurrences.

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Describe your experience deploying AI/ML models in a production environment.

Talk about specific projects where you've worked with AI/ML models, detailing both the deployment process and the monitoring of those models post-deployment. Highlight any insights gained from the use of those models.

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Why are you interested in working for Brightspeed as an IT Manager, Data Engineering?

Relate your personal values with those of Brightspeed, expressing your excitement about their mission. Share how your skills align with the company’s goals and how you envision contributing to their innovative projects.

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Building a future where more communities can benefit from a more connected life. "Internet Equals Opportunity." We’re Brightspeed, a brand-new internet provider on a mission to bring more connectivity to America. We believe where you choose to ca...

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Full-time, remote
DATE POSTED
April 11, 2025

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