Associate Director, Data Engineering

We're partnering with a leading global provider of vacation ownership, rental, and resort experiences, who are known for their vacation club memberships, timeshare properties, and luxury travel options across a portfolio of high-end resorts and destinations. With a strong focus on customer service, they offer flexible vacation solutions such as points-based systems and exchange programs, and operate under multiple well-known hospitality brands.

They are currently undergoing a technology transformation, with a focus on modernization to improve relationships with customers and further expand their accessibility across all experiences and destinations. The goal is to be a technology leader in hospitality, and they are looking for individuals eager to bring their expertise to the organization long-term.

Under the new leadership, the team has been reinvigorated and are primed for growth across their entire Global Technology organization including Engineering & Operations, Data Platforms & Engineering, Artificial Intelligence, Information Security, Privacy, Infrastructure, Products & Platforms, Delivery Office, and the Office of the CIO. The business intends to double it's spending on Technology across the organization for each of the next 3 years. This is your opportunity to be a part of the journey and drive innovation through technology adoption.

Specific Expected Contributions

• Technical Requirements: Collaborate with business stakeholders to derive technical requirements from business needs.
• Solution Design: Architect and design scalable, efficient, and secure data solutions.
• Deployment: Lead the deployment of data solutions, ensuring they meet performance and reliability standards.
• Maintenance: Oversee the maintenance and optimization of data systems.
• Transformation: Drive the transformation to new technologies and architectures, ensuring alignment with business goals.
• Leadership: Mentor and lead a team of data engineers, fostering a culture of innovation and excellence.
• Collaboration: Work closely with cross-functional teams, including IT, analytics, and business units, to ensure cohesive data strategies.
• Compliance: Ensure all data solutions comply with industry standards and regulations.
• Innovation: Explore and implement new tools, techniques, and methodologies to enhance data engineering practices.
• Vendor Management: Manage relationships with vendors, including selection, contract negotiation, and performance evaluation.
• Security: Partner with security and data privacy teams to implement measures protecting data and ensuring system safety from cyber threats.
• Change Management: Drive change management initiatives to ensure smooth adoption of new systems and processes across the organization.
• Budget Management: Develop and manage the data engineering team budget, ensuring cost effective solutions that deliver value to the business.
• Technical Oversight: Provide technical oversight during the development phase to ensure delivered solutions align with engineered specifications and meet quality expectations.
• Data Pipeline Design: Design efficient data pipelines (ETLs) that integrate data from various sources into the data warehouse.
• Documentation: Prepare technical engineering documents that describe in technical terms and diagrams what needs to be delivered by suppliers.

Specific Candidate Profile

Education

Bachelor's degree required in technology, engineering, computer science, or statistical/math sciences or Bachelor of Science (BS) degree.

Experience

• At least 8 years of progressive experience in technology data and analytics development including experience operating in a globally sourced operating model leveraging suppliers for data and analytics services.
• Technical knowledge and experience in managing service delivery on data and analytics platforms, custom database development or coding languages.
• Experiencing working in a global sourcing model is a plus.
• Technical knowledge and experience in managing service delivery on data and analytics platforms, custom database development or coding languages.
• Strong background in data engineering, architecture, and leadership, with expertise in Oracle, SQL, AWS Redshift, and Informatica.
• Experience in cloud migration and hybrid cloud environments.
• Experience with big data technologies (e.g., Snowflake, Redshift, Heroku).
• Experience with additional data tools and technologies (e.g. Hadoop, Spark, Python).
• Experience in driving organizational change and leading technology transformations.

Skills/Attributes

• Requires high level of specialized knowledge and skill in Information Technology (IT) for Data Services applications.
• Able to exhibit a progression of increasingly complex applications and successfully lead and deliver complex IT projects.
• Knowledge of data governance and security best practices.
• Familiarity with agile methodologies and continuous integration.
• Proven ability to apply advanced analytical, conceptual strategic planning, and execution skills to solve complex technical challenges.
• Expert level understanding of ETL fundamentals and building efficient data pipelines.
• Strong analytical, problem-solving, and communication skills. Ability to translate complex technical concepts into business-friendly language.
• Demonstrated ability to lead and mentor a team, manage projects, and drive strategic initiatives.
• Ability to thrive in a fast-paced, dynamic environment and adapt to changing business needs.