Data Engineering Director

3 weeks ago

Twin Lakes, United States Global Medical Response Inc Full time

Located in Denver, CO

Job Description:
Director, Data Engineering

Greenwood Village, CO.

$170000K-$220000K

Why Choose GMR? Global Medical Response (GMR) and its family of solutions are dedicated to delivering compassionate, quality medical care, primarily in the areas of emergency and patient relocation services. Here you'll embark in meaningful work that will make an impact on you and the customers we serve. View our employees' stories on how we provide care to the world at www.AtaMomentsNotice.com.

JOB DESCRIPTION

Director, Data Engineering

As the Director of Data Engineering, you will be responsible for leading and transforming GMR's Data Estate, which encompasses the entire data lifecycle from ingestion, storage, processing, analysis, to visualization. You will design, develop, and maintain scalable and robust data solutions using on-premises SQL Server warehouses and Azure based Data Lake, as well as implement and integrate advanced AI data and engineering solutions using cutting-edge technologies such as Azure Databricks, Azure OpenAI, LLM modeling, PowerBI, Python, and PySpark. You will report to the VP of IT Applications and manage a team of data engineers, analysts, and scientists who are passionate about delivering data-driven insights and solutions that support GMR's mission and vision. You will also collaborate with business stakeholders, IT leaders, and external partners to understand the business needs and expectations and align the data engineering strategy and roadmap with the business objectives and IT architecture. As the Director of Data Engineering, you will be a key driver of innovation, excellence, and diversity in GMR's data capabilities and culture.

Key Responsibilities:

Leadership and Strategy:

  • Provide visionary leadership and strategic direction for the data engineering team.
  • Develop and implement the data engineering roadmap aligned with the company's goals.
  • Foster a culture of innovation, continuous improvement, and excellence within the team.
  • Build strong partnerships with business stakeholders, IT leaders, and external partners, ensuring the alignment and delivery of data engineering solutions that meet the business needs and expectations.
Team Management:
  • Recruit, mentor, and manage a team of data engineers, ensuring high performance and professional growth.
  • Conduct regular performance reviews and provide constructive feedback.
  • Promote collaboration and knowledge sharing within the team.
Data Infrastructure and Architecture:
  • Oversee the design, development, and maintenance of scalable data pipelines and ETL processes.
  • Ensure the quality, reliability, security, and scalability of GMR's Data Estate, following best practices and standards for data governance, data quality, data modeling, data integration, data warehousing, and data lake.
  • Ensure the integrity, availability, and security of data across the organization.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
  • Leverage cloud-based technologies and platforms such as Azure Databricks, Azure OpenAI, LLM modeling, PowerBI, Python, and PySpark to build and deploy AI data and engineering solutions that enhance GMR's capabilities and performance.
Project Management:
  • Manage multiple data engineering projects simultaneously, ensuring timely delivery and adherence to quality standards.
  • Coordinate with cross-functional teams to define project scopes, timelines, and resource allocation.
  • Identify and mitigate project risks and issues.
Technology and Innovation:
  • Stay current with emerging technologies and industry trends in data engineering.
  • Evaluate and implement new tools and technologies to enhance data processing capabilities.
  • Drive innovation in data engineering practices and methodologies.
Compliance and Governance:
  • Ensure compliance with data governance policies, standards, and best practices.
  • Implement and enforce data security measures to protect sensitive information.
  • Maintain comprehensive documentation for data engineering processes and systems.
Qualifications and Skills:
  • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Statistics, or related field. Master's degree in related field preferred.
  • 10+ years of experience in data engineering, data warehousing, data lake, data integration, data analysis, and data visualization.
  • 5+ years of experience in leading and managing data engineering teams and projects.
  • Expertise in SQL Server, Azure Databricks, Azure OpenAI, LLM modeling, PowerBI, Python, PySpark, and other data engineering and AI technologies and tools.
  • Strong knowledge of data governance, data quality, data modeling, data architecture, and data security principles and practices.
  • Strong analytical, problem-solving, and decision-making skills, with the ability to translate business requirements into data engineering solutions.
  • Strong communication, presentation, and interpersonal skills, with the ability to communicate effectively with technical and non-technical audiences.
  • Strong leadership, teamwork, and collaboration skills, with the ability to inspire, motivate, and mentor data engineering teams and stakeholders.
  • Passion for data engineering and AI, and willingness to learn and adapt to new technologies and challenges.


To learn more about GMR and how our values are at the core of our services and vital to how we approach care, visit www.GlobalMedicalResponse.com .

#LI-SS1
EEO Statement:
Global Medical Response and its family of companies are an Equal Opportunity Employer, which includes supporting veterans and providing reasonable accommodations for individuals with a disability.
More Information about this Job:
  • Salary Range $170K-$220K Annum
  • Check out our careers site Benefits | GMR Careers to learn more about our comprehensive benefit options, which include medical, vision, dental, 401k, disability, FSA, HSA, EAP, vacation and paid time off.
  • The application window for this position is anticipated to close on 9.14.2024
  • This position is bonus eligible.

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