Revinate is one of the largest and most innovative providers of direct revenue-generating solutions in the hospitality industry. Revinate's mission is to deliver hoteliers scalable direct revenue and profits from data-driven solutions that cultivate deeper relationships with guests. Revinate’s Direct Booking Platform helps capture, convert and retain guests with strategies and services that maximize direct booking revenue. This combination maximizes the lifetime value of each guest through personalized and targeted campaigns across the guest journey. Revinate Marketing has won 1st place for Hotel CRM & Email Marketing in the HotelTechAwards five years in a row!
About Us
Revinate is an innovative hospitality tech company that is revolutionizing how customers manage their operations and enhance the guest experience. Our solutions leverage advanced technology, data analytics, and automation to improve efficiency and drive customer happiness in the hospitality industry.
The Opportunity
We are seeking an experienced and visionary Director, Data Engineering to lead our Data Platform initiatives. In this critical role, you will be responsible for defining the strategy, architecture, and execution of our end-to-end data ecosystem, encompassing data ingestion pipeline, operational data stores, our evolving data lakehouse, and robust data APIs. You will build and lead a high-performing team of data engineers, fostering a culture of innovation, collaboration, and operational excellence. This role requires not only deep technical expertise but also a strong understanding of how data can drive business value, including leveraging data science and machine learning to optimize our operations.
Key Responsibilities
Strategic Leadership: Define and execute the long-term vision and roadmap for our data platform, aligning with overall business objectives and technology strategy.
Team Leadership & Development: Recruit, mentor, and lead a talented team of data engineers, fostering their growth and ensuring best practices in data engineering.
Data Pipeline: Oversee the design, development, and maintenance of scalable and reliable real time data ingestion pipeline, ensuring data quality, accuracy, and timely delivery.
Operational Data Stores: Lead the architecture and management of our operational data stores, optimizing for performance, reliability, and accessibility to support critical business applications.
Data Lakehouse Development: Drive the strategic evolution and implementation of our data lakehouse, enabling unified data access, advanced analytics, and machine learning initiatives.
Data API Development: Champion the design and development of secure, performant, and well-documented data APIs to facilitate data consumption across various applications and user groups.
Data Governance & Quality: Enforce data governance policies, standards, and procedures to ensure data integrity, security, privacy, and compliance.
Operational Efficiency through Data Science/ML: Collaborate closely with data science and analytics teams to identify opportunities where data science and machine learning can be applied to optimize internal operations, automate processes, and improve efficiency within the data platform itself (e.g., predictive maintenance for pipelines, intelligent resource allocation).
Performance & Scalability: Ensure the data platform is highly performant, scalable, and resilient, capable of handling growing data volumes and complex analytical workloads.
Technology Evaluation: Evaluate and recommend new data technologies, tools, and platforms to enhance our data capabilities and stay ahead of industry trends.
Cross-Functional Collaboration: Partner effectively with engineering, product, analytics, data science, and business teams to understand data requirements and deliver impactful solutions.
Monitoring & Support: Establish robust monitoring, alerting, and on-call support processes for all data systems, ensuring high availability and rapid issue resolution.