Manager Data Engineering
Efuq Open At a glance
Manager-level Data Engineering role at Efuq. Orlando · full-time · no salary stated · we estimate $112,500–$160,000 across the United States.
Efuq has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Guide the team building and maintaining data platforms, pipelines and integrations for warehousing, analytics, governance and master data
- Set direction for how the organization collects, stores, structures and connects data across internal and external systems
- Work with business, infrastructure and operations groups to align data services with operational needs and service agreements
- Coordinate architects and internal or contracted staff to deliver data solutions and keep enterprise information designs current
- Review emerging technologies and ensure data systems meet applicable privacy, regulatory and operational standards
What you bring
- At least five years leading data engineering, warehousing or other technical teams
- A bachelor's degree in a related discipline, or equivalent professional experience
- Working knowledge of cloud and on-premise data environments, data modeling, integration approaches and privacy rules
- Ability to direct team projects, with strong communication, technical analysis and planning skills
Who this fits
This is an on-site management role based at the corporate office in Orlando, Florida. It suits someone who can lead technical teams while working across business and IT groups.
From the employer
The Manager of Data Engineering is responsible for overseeing the design, development and maintenance of data systems. The Manager of Data Engineering 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.
Here’s why you will love it here:
- Recognition Programs and Rewards
- Excellent health care options, including medical, dental, and vision
- A people-first culture
- Go Hilton: Travel Discounts Program Hilton hotel rates worldwide.
- Perks at work: Employee Pricing platform
- Employee Assistance Program that supports your physical and mental well-being.
- Paid Vacation Time and Paid Sick Days
- 401(k) program with company match
- Tuition reimbursement programs
- Numerous learning and advancement opportunities
- And more!
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.
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.
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)
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Engineering
Find me workBy the team behind dataroles.