Hilton

McLean, VA
10,000+ employees
Hilton (NYSE: HLT) is a leading global hospitality company with a portfolio of 19 world-class brands and 7,100+ properties in 123 countries and territories.

Lead Data Modeling Engineer

Lead Data Modeling Engineer

This job is no longer open

Lead Data Modeling Engineer (

Job Number:

COR0116Y)

Work Locations

:

Hilton - Systems Solutions - McLean

7930 Jones Branch Drive

McLean 22102

***This position is Virtual***

From smartphone capabilities like Digital Key to connected rooms that allow for integrated entertainment, temperature, and lighting controls, Hilton’s Global Technology team is responsible for creating the hospitality experience of the future – for our guests, owners, and Team Members. Through innovative technology development and deployment, this team ensures Hilton has the technology needed to support our continued global growth while remaining at the forefront of hospitality technology innovation.

What will I be doing?

As the Lead Database Engineer, you will help to identify ways to improve data efficiency, reliability, and overall quality. You will also be consolidating requirements and data modeling (conceptual, logical, and physical) to support all data needs across multiple technologies within Hilton’s Enterprise Data environment.

More specifically, you will:

  • Research, promote, and develop data architecture standard methodologies
  • Define physical data strategy
  • Establish new data standards and processes to support current and future enterprise requirements
  • Understand data relationships and craft data models that reflect these relationships and facilitates loading and querying the data while ensuring optimum performance
  • Work with Business Analysts, other Data Architects, Software developers, DBAs to achieve project objectives - delivery dates, cost objectives, quality objectives, business customer satisfaction objectives, etc.
  • Demonstrate and enforce standards

What are we looking for?

We believe the success in this role will demonstrate itself through the following attributes and skills:

  • Strong analytical, prioritizing, interpersonal, problem-solving, presentation, allocating, project management (from conception to completion), & planning skills.
  • Strong verbal and written communication skills (including analysis, interpretation, & reasoning).
  • Skilled at understanding, detailing, and describing complex technical subjects, and aligning business capabilities to Technology solutions.
  • Ability to develop and maintain collaborative relationships with peers and colleagues across the organization, as well as, internal and external clients.
  • Ability to work well autonomously and within a team in a fast-paced and deadline-oriented environment.
  • Self-motivated with critical attention to detail, deadlines, and reporting.

To fulfill this role successfully, you should demonstrate the following minimum qualifications:

  • Seven (7) years of professional work experience in large-scale Data Warehouse technology with a working understanding of ETL tools, BI, and Analytic datasets
  • Seven (7) years designing relational and dimensional data models in common toolsets, including ERwin, Oracle SQL Data Modeler, and PowerDesigner
  • Three (3) years spent operating in leadership, mentorship, or a team lead capacity
  • Experience/understanding of business process reengineering including business systems development and analysis, data stewardship, and metadata management
  • Experience with data organizational change procedures and deployment of database changes
  • Occasional travel either locally, nationally, and/or internationally may be required

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

  • Bachelor’s Degree, or Associate’s Degree plus six (6+) years of Technology related experience, or High School Degree/GED plus twelve (12+) years of Technology related experience
  • Nine (9) years of professional work experience in large scale Data Warehouse Technology
  • Ten (10) years of Data Modeling experience utilizing common modeling tools
  • Five (5) years spent operating in a leadership

What is it like working for Hilton?

Hilton is the world’s leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For over a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities, and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all!

We are an equal opportunity employer and value diversity at our company. We will ensure that qualified individuals with protected disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions of his or her role, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

For Colorado applicants only: The annual salary range for this role starts at $81,000 and is based on applicable and specialized experience and location. Hilton offers its eligible team members a comprehensive benefits package including medical and prescription drug coverage, dental coverage, vision coverage, life insurance, short-and long-term disability insurance, a 401(k) savings plan, paid time off, and our travel discount. Subject to plan terms and conditions, you will be eligible to participate in the Hilton Annual Incentive (Bonus) Plan consistent with other team members at the same level and/or position within the Company.

Schedule

: Full-time

Brand: Hilton Corporate

Shift

: Day Job

Job Level

: Manager

Job

: Technology

This job is no longer open
Logos/outerjoin logo full

Outer Join is the premier job board for remote jobs in data science, analytics, and engineering.