GCP Data Architect (Hospitality Solutions)
GCP Data Architect (Hospitality Solutions)
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Job Description
Sabre is a technology company that powers the global travel industry. By leveraging next-generation technology we create global technology solutions that take on the biggest opportunities and solve the most complex challenges in travel.
Positioned at the center of the travel we shape the future by offering innovative advancements that pave the way for a more connected and seamless ecosystem as we power mobile apps online travel sites airline and hotel reservation networks travel agent terminals and scores of other solutions.
Simply put we connect people with moments that matter.
NOTE: TPG Capital a global alternative asset management firm recently acquired Hospitality Solutions. Over the coming months Sabre is working with TPG to formally separate the Hospitality Solutions business from Sabre. It is important to understand that while you will be employed by a Sabre legal entity your role will be to support the Hospitality Solutions business which is now owned by TPG.
Hospitality Solutions formerly part of Sabre Holdings is a global leader at the forefront of hospitality technology powering over 40000 properties across 174 countries. Celebrated for our innovative and customer-centric approach we deliver integrated platforms for distribution reservations retailing and guest experience to both renowned hotel brands and independent properties worldwide.
With the strategic support of TPG a leading private equity firm we are entering an era of accelerated growth digital transformation and operational excellence as a focused independent company. Building on our legacy of driving technological evolution in hospitality we are committed to setting new standards for guest satisfaction and operational efficiency.
Hospitality Solutions is looking for an experienced GCP Data Architect
Working in Hospitality Solutions Enterprise Architecture team gives you opportunities to develop your technical business and intercultural skills cooperating with people from all over the world.
Role and Responsibilities
The GCP Data Architect is a senior technical leader responsible for designing implementing and overseeing scalable secure and cost-effective data architectures on Google Cloud Platform (GCP). This role blends strategic vision with hands-on engineering to modernize data platforms prepare our organization for AI/ML at scale and drive digital transformation.
Key Responsibilities
Architect and implement end-to-end data solutions using GCP services like BigQuery Dataflow Pub/Sub and Cloud Storage.
Design and build data lakes lakehouses and data mesh platforms that serve as a foundation for advanced analytics generative AI and machine learning initiatives.
Lead data modernization efforts migrating legacy systems to cloud-native solutions to unlock new analytical and AI capabilities.
Develop robust data pipelines and MLOps platforms that enable the development deployment and management of machine learning models.
Collaborate with business and technical stakeholders to define enterprise data strategies and reference architectures that support our AI and business intelligence roadmaps.
Establish and enforce data governance security and compliance to ensure the integrity and responsible use of data for all business purposes including AI.
Mentor engineering teams on GCP best practices data architecture patterns and the principles of MLOps.
Required Skills & Experience
68 years of experience in data engineering architecture or analytics roles.
Deep expertise in GCP services particularly those essential for data and AI workloads (e.g. BigQuery Dataflow Vertex AI Cloud Composer).
Strong proficiency in Python SQL and data orchestration tools like Airflow.
Extensive experience with data modeling distributed systems and real-time processing.
Hands-on experience with MLOps principles and tools for automating machine learning workflows.
Familiarity with Infrastructure as Code (e.g. Terraform) to manage and scale data environments.
Excellent communication and stakeholder engagement skills with the ability to translate complex technical concepts into business value.
QA awareness including Unit Tests TDD and performance testing.
Preferred Qualifications
Google Cloud Professional Data Engineer or Cloud Architect certification.
Proven experience with AI/ML platforms Kubernetes and data cataloging tools.
Experience in a consulting or hybrid delivery environment (onshore/offshore).
Skills List
GCP Core Services: BigQuery Oracle Dataflow Cloud Storage Pub/Sub Cloud Composer Vertex AI Cloud Spanner Cloud SQL Cloud IAM.
Programming Languages: Python SQL and optionally Java or Scala.
Data Technologies: Data lakes data warehouses real-time data streaming distributed systems ETL/ELT.
Architecture & Design: Data modeling data mesh data fabric Lambda and Kappa architectures.
MLOps & AI: Vertex AI Kubeflow ML model serving and CI/CD for machine learning pipelines.
Infrastructure as Code (IaC): Terraform Deployment Manager.
Data Governance: Data cataloging data lineage metadata management.
Soft Skills: Strategic planning technical leadership mentoring communication and problem-solving.
Outstanding Benefits
- Very competitive compensation
- Generous Paid Time Off (25 PTO days)
- 4 days (one day/quarter) Volunteer Time Off (VTO)
- 5 days off annually for Year-End Break
- We offer a comprehensive medical dental and Wellness Program
- 12 weeks paid parental leave
- An infrastructure that allows flexible working arrangements
- Formal and informal reward recognition and acknowledgement programs
- Lots of fun and engaging employee development events
Reasonable Accommodation
Sabre is committed to working with and providing reasonable accommodation to applicants with disabilities. Applicants applying for a Sabre position with a disability who require a reasonable accommodation for any part of the application or hiring process may contact Sabre at .
Determinationson requests for reasonable accommodation will be made on a case-by-case basis.
Affirmative Action
Sabre is an equal employment opportunity/affirmative action employer and is committed to providing employment opportunities to minorities females veterans and disabled individuals.EEO IS THE LAW
#LI-Hybrid#LI-TJ1Employment Type
Full-Time
