Manager Data Engineering

Hilton Grand Vacations

• $110K — $130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in business, computer science, or related field or equivalent experience.
  • 5+ years of experience managing data engineering or data warehouse teams.
  • Experience with on-premise and cloud-based data ecosystems, including SaaS and PaaS.
  • Familiarity with data modeling for transactional and analytical workloads.
  • Knowledge of data integration tools and patterns, such as ETL and event messaging.
  • Understanding of data privacy regulations (GDPR, CCPA, etc.).
  • Strong project management capabilities.

Responsibilities

  • Lead and mentor data engineering teams to enhance their performance.
  • Engage with technical and non-technical departments to deliver appropriate data solutions.
  • Oversee both internal and external resources to ensure project success.
  • Guide data collection, storage, and integration solutions across the enterprise.
  • Collaborate with teams to ensure data systems meet operational standards.
  • Work with architects to maintain an integrated view of enterprise information systems.
  • Evaluate and integrate new technologies to improve data solutions.

Benefits

  • On-site position at the corporate office in Orlando, Florida.
  • Opportunities for professional mentorship and team development.
  • Engagement with various departments to drive business strategy.
  • Focus on innovative technologies and contemporary data practices.
Full Job Description
Job Description

The Manager of Data Engineering is responsible for overseeing the design, development and maintenance of data systems. The Sr. Manager will work closely with other departments in the business and IT to ensure data systems meet business requirements and service level agreements. The role will provide mentorship and guidance to a team focused on delivery of high-performance, reliable, scalable data solutions that support key business capabilities including Master Data Management, Data Warehousing, Analytics and Governance.

This is an on site role from our corporate office in Orlando, Florida.

Responsibilities

Leadership and Influence
  • Provide technical and professional leadership to data engineering teams, developing the team's overall ability to produce quality data systems and information flows.
  • Maintain healthy engagement with other technical and non-technical departments to provide right-sized data solutions for business and technology needs.
  • Oversee internal and contracted resources to ensure successful delivery of solutions

Strategy and Execution
  • Provide guidance to the enterprise for data collection, storage, structure, integrity and integration solutions.
  • Consult with infrastructure, operations, and business teams to ensure data systems meet operational standards and SLAs.
  • Work with Data and Solution Architects to create and maintain a holistic view of enterprise information systems and integrations.
  • Develop and maintain reference architecture for data solutions and information flow within the organization and between external data partners.
  • Develop and maintain new and existing data solutions and integrations, including data stores and pipelines.
  • Assess new and innovative technologies and trends and evaluate new products or services that can be leveraged to create better data solutions.
  • Ensure that data systems meet or exceed necessary compliance and regulatory requirements.


Qualifications

To fulfill this role successfully, you must possess the following minimum qualifications and experience:

  • Bachelor's degree in business, computer science, computer engineering, electrical engineering, system analysis or a related field of study, or equivalent experience.
  • 5+ years of experiencing in managing data engineering, data warehouse, or other technical teams.
  • Familiarity with on-premise and cloud based data ecosystems and tools including Software as a Service (SaaS) and Platform as a Service (PaaS) models
  • Familiarity with data modeling principals for transactional and analytical workloads.
  • Familiarity with data integration tools and patterns such as Extract Transform Load tools, event messaging and web interfaces.
  • Familiarity with data privacy and protection regulations (GDPR, CCPA, SOX, PCI, etc....)
  • Ability to manage team projects.
  • Excellent communications skills.
  • Excellent analytical and technical skills.
  • Excellent planning and organizational skills.


It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:

  • Master's degree in business, computer science, computer engineering, electrical engineering, system analysis or a related field of study.
  • Experience working with IT service providers in an outsourced resource model.
  • Prior experience in a formalized enterprise IT organization with demonstrated expertise in data and information system management skills
  • Data Warehousing and Data Lake design
  • Master Data Management (MDM)
  • Extract Transform Load (ETL/ELT) patterns
  • Software Development Life Cycle (SDLC)
  • Continuous Integration and Continuous Delivery (CI/CD)


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