Manager of Data Engineering

Posted 3 Days Ago
Be an Early Applicant
3 Locations
In-Office
Senior level
Utilities
The Role
Lead and mentor a data engineering team to design, build, and maintain enterprise data warehouses, lakes, and pipelines. Ensure data quality, governance, security, performance, and scalability. Collaborate with data science, BI, and application teams, evaluate technologies, drive automation and DevOps/DataOps practices, manage projects and budgets, and align data initiatives with business objectives.
Summary Generated by Built In

Join our Growing Team and see why Summit Utilities, Inc was named as one of the Fastest Growing Denver Area Private Companies 2019 and 2020; Best Places to Work in Maine 2019, 2020, 2021, 2022 and 2023; and Best Places to Work in Arkansas 2020 and 2023, Oklahoma 2022 and 2023 and Missouri 2023. Summit was also recently named one of Forbes 2023 America’s Best Small Employers.

Summit is a growing natural gas utility providing safe, reliable, and clean burning natural gas service to homes and businesses in Arkansas, Colorado, Maine, Missouri, Oklahoma, and Texas. Being part of the Summit team means embracing excellence and innovation, committing to safety each and every day, and doing all that we can to serve each other, our customers, and the communities where we live. We aim to bring warmth and energy to everything we do.

We are pleased to announce an exciting opportunity for a Manager of Data Engineering (SGL35) to join our team. This hybrid role may be based in one of our offices in Little Rock, Fort Smith, or Fayetteville, Arkansas.

POSITION SUMMARY

A Manager of Data Engineering leads and mentors the data engineering team, overseeing the design, development, implementation, and maintenance of scalable and robust data infrastructure and pipelines. Successful candidates are strategic thinkers, possess strong leadership qualities, and are adept at managing complex data projects in a fast-paced environment. They are responsible for ensuring data quality, integrity, and accessibility across the enterprise. A Manager of Data Engineering collaborates daily with IT leadership, data engineers, scientists, analysts, and business stakeholders to define data strategy, address data needs, and drive data-informed decision-making. They must foster a culture of innovation and continuous improvement within the data engineering team.

PRIMARY DUTIES AND RESPONSIBILITIES

  • Lead, manage, and mentor a team of data engineers and analysts, fostering their professional growth and development.
  • Oversee the architecture, design, and implementation of enterprise-level data warehousing, data lakes, and data pipeline solutions.
  • Define and enforce data engineering best practices, standards, and methodologies.
  • Collaborate with cross-functional teams, including data science, business intelligence, and application development, to understand data requirements and deliver effective solutions.
  • Ensure the reliability, scalability, and performance of data infrastructure and systems.
  • Develop and implement strategies for data quality management, data governance, and data security.
  • Manage the full lifecycle of data engineering projects, including planning, execution, monitoring, and delivery.
  • Evaluate and recommend new technologies, tools, and techniques to enhance data engineering capabilities.
  • Drive automation of data processes to improve efficiency and reduce manual intervention.
  • Communicate effectively with technical teams and business stakeholders regarding project status, risks, and outcomes.
  • Establish and monitor key performance indicators (KPIs) for the data engineering team and data systems.
  • Troubleshoot and resolve complex data-related issues in a timely manner.
  • Develop and manage the budget for the data engineering department.
  • Stay current with industry trends and advancements in data engineering and big data technologies.
  • Champion a data-driven culture within the organization.

EDUCATION AND WORK EXPERIENCE

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related quantitative field is preferred, or a combination of education and equivalent experience.
  • 7+ years’ experience in data engineering, with a proven track record of designing and implementing complex data solutions.
  • 3+ years’ experience in a leadership or managerial role, successfully leading and developing data engineering teams.

 KNOWLEDGE, SKILLS, ABILITIES 

  • Strong leadership, team-building, and interpersonal skills.
  • Expertise in data modeling, ETL/ELT development, and data warehousing concepts (e.g., Kimball, Inmon).
  • Proficiency in programming languages such as Python, Scala, or Java.
  • Extensive experience with big data technologies (e.g., Apache Spark, Hadoop, Kafka, Flink).
  • Deep understanding of cloud-based data platforms and services (e.g., AWS Redshift, S3, Glue; Azure Synapse, Data Lake Storage, Data Factory; Google BigQuery, Cloud Storage, Dataflow).
  • Proficient in SQL and experience with various database technologies (e.g., relational, NoSQL, columnar).
  • Experience with data pipeline orchestration tools (e.g., Apache Airflow, Prefect, Dagster).
  • Solid understanding of data governance, data quality, data lineage, and data security principles and practices.
  • Excellent problem-solving, analytical, and critical thinking skills.
  • Strong project management skills, with the ability to manage multiple priorities and deadlines.
  • Exceptional communication and presentation skills, with the ability to convey complex technical concepts to non-technical audiences.
  • Experience with DevOps and DataOps methodologies and tools (e.g., CI/CD, infrastructure-as-code).
  • Familiarity with business intelligence tools (e.g., Power BI, Tableau) and their data integration needs.
  • Strategic mindset with the ability to align data engineering initiatives with overall business objectives.

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and/or skills required of all personnel so classified.

Summit offers competitive pay and medical/dental/vision and other benefits that provide flexibility, choice, and support to our employees when they need it most. We understand that home and family are essential pieces of your life, and our benefits are designed to support you both at work and at home. 

Summit Utilities, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or protected veteran status and will not be discriminated against on the basis of disability or veteran status.

Skills Required

  • 7+ years experience in data engineering, designing and implementing complex data solutions
  • 3+ years experience in a leadership or managerial role leading data engineering teams
  • Bachelor's or Master's degree in Computer Science, Engineering, IT, or related field (or equivalent experience)
  • Proficiency in programming languages such as Python, Scala, or Java
  • Extensive experience with big data technologies (Apache Spark, Hadoop, Kafka, Flink)
  • Deep understanding and hands-on experience with cloud data platforms (AWS Redshift/S3/Glue, Azure Synapse/Data Lake/Factory, Google BigQuery/Cloud Storage/Dataflow)
  • Proficient in SQL and experience with relational, NoSQL, and columnar database technologies
  • Experience with data pipeline orchestration tools (Apache Airflow, Prefect, Dagster)
  • Solid knowledge of data governance, data quality, data lineage, and data security practices
  • Experience implementing DevOps/DataOps practices including CI/CD and infrastructure-as-code
  • Strong leadership, team-building, project management, and communication skills
  • Familiarity with business intelligence tools and integration needs (Power BI, Tableau)
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The Company
HQ: Englewood, Colorado
500 Employees
Year Founded: 1997

What We Do

Summit Utilities, Inc. is a privately-held holding company that owns and operates several natural gas distribution and transmission subsidiaries that operate in Arkansas, Colorado, Maine, Missouri, Oklahoma, and the Texarkana, Texas area. The company provides safe, clean and affordable natural gas to businesses and residents in six states through Arkansas Oklahoma Gas, Colorado Natural Gas, Summit Natural Gas of Maine, Summit Natural Gas of Missouri, Summit Utilities of Arkansas, and Summit Utilities of Oklahoma. Each of Summit’s natural gas distribution and transmission subsidiaries constructs and installs natural gas distribution systems with the goal of supporting economic development by providing clean-burning, safe and reliable natural gas to residential and commercial customers through exceptional customer service and commitment to community. Overall, Summit entities serve approximately 625,000 customers and operate more than 23,400 miles of pipeline. Being part of the Summit team means embracing excellence, diversity and innovation, committing to safety each and every day, and doing all that we can to serve each other, our customers and the communities where we live. We aim to bring warmth and energy to everything we do. To see our latest job openings, please visit: https://summitutilitiesinc.com/careers See also: Colorado Natural Gas at https://www.linkedin.com/company/colorado-natural-gas/ Summit Natural Gas of Missouri at https://www.linkedin.com/company/summit-natural-gas-of-missouri/ Summit Natural Gas of Maine at https://www.linkedin.com/company/summit-natural-gas-of-maine/ Arkansas Oklahoma Gas (AOG) at https://www.linkedin.com/company/arkansas-oklahoma-gas-corp./ and Summit Utilities https://www.linkedin.com/company/summit-utilities

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