Senior Technology Lead, Engineering

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.

Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.

Ready to help build the technology behind how Expedia Group communicates with its global supply partners? B2B Supply Marketing's Digital Operations (Dig Ops) team is responsible for all B2B Supply partner marketing communications, the scalable email channel that delivers both campaigns and Next Best Action (NBA) opportunity recommendations to partner contacts. We're in the middle of validating our next-gen Mar Tech stack with Salesforce Marketing Cloud & Salesforce Data Cloud as the future platforms for partner marketing, consolidating multiple Marketo instances and Message Gears onto the same Salesforce technology stack used across EG.

We're looking for a Senior Technology Lead to help drive that build-out.

In this role, you'll be a senior technical voice on the SFMC and partner marketing platform effort bringing the mix of Data Engineering, Software Engineering, Architecture, Data Modeling, and developing data ingestion patterns to support the Marketing Programs and AI orchestration.

• Lead the design and delivery of complex, end-to-end SFMC initiatives for partner marketing, such as journey and automation builds and NBA integration, with minimal day-to-day guidance.
• Own and architect the end-to-end data model for Salesforce Marketing Cloud and Salesforce Data Cloud (Data 360), including Data Extensions, Contact Builder/Data Designer relationships, Data Model Objects (DMOs), Data Lake Objects (DLOs), and Identity Resolution rulesets.
• Design and build a knowledge graph connecting partner, property, contact, and campaign entities across SFMC, Data Cloud, and upstream systems to enable unified partner profiles, relationship discovery, and Next Best Action (NBA) recommendations.
• Define the ontology, entity-relationship structure, and identity resolution/deduplication logic underpinning the knowledge graph and Data Cloud unified profiles.
• Design, develop, and optimize data capture, processing, storage, and distribution solutions that power marketing campaigns, reporting, and partner integrations.
• Build and maintain batch and streaming pipelines that are reliable, observable, and cost-efficient at scale.
• Model and curate datasets that marketing, analytics, and partner teams can trust and self-serve from.
• Expose data through well-designed APIs and services that integrate with internal platforms and third-party marketing tools.
• Use AI-assisted development tools in your day-to-day workflow, and help the team establish where they help and where they do not.
• Partner with the business to integrate AI and LLM capabilities into marketing data workflows enrichment, classification, content generation, and agentic automation - with appropriate evaluation and guardrails.
• Design and develop ETL/ELT pipelines end-to-end, from source system extraction (for example, PMDS, Salesforce Core CRM) through transformation and orchestration, into SFMC Data Extensions, Data Cloud DMOs/DLOs, and the knowledge graph, including evaluating SFMC/Data Cloud-native data management versus custom pipelines.
• Architect Zero Copy integration between Salesforce Data Cloud and EG's external data lake (for example, AWS, EGDL), so data used for marketing can be queried in place without duplicating it, keeping it available outside SFMC for analytics and other downstream consumers.
• Establish data pipeline orchestration, scheduling and monitoring (for example, Airflow, dbt, or similar), with clear SLAs for data freshness, identity resolution accuracy, and pipeline reliability, as the team scales from pilot to production volumes.
• Drive platform health and reliability practices (for example, change/release management, CI/CD for Salesforce metadata, monitoring and alerting) across SFMC and Data Cloud.
• Serve as a go-to technical resource for engineers and partner marketing stakeholders building on SFMC and Data Cloud, unblocking complex technical issues and reviewing designs and pull requests for platform-wide standards.
• Mentor other engineers on the team and share platform and data architecture knowledge through documentation to raise the team's overall technical standards.
• Partner with partner marketing stakeholders, data science partners, and Salesforce (vendor) contacts to translate platform capabilities and constraints into…