Job Opportunities

Senior Data Engineer

Guest 360 Customer Data Platform

Full-time • Data Engineering • 10+ years experience required



About the Role
We are looking for a Senior Data Engineer to build and evolve the data infrastructure powering our Guest 360 Customer Data Platform (CDP). You will design and own the pipelines, data models, and integrations that unify guest data across every touchpoint, enabling personalized experiences, real-time insights, and data-driven decision-making across marketing, operations, and product. This is a high-impact role at the core of our data strategy.

Responsibilities
• Design, build, and maintain scalable batch and real-time data pipelines that ingest, transform, and deliver guest data from diverse sources into the Guest 360 CDP.

• Model guest identity, behavior, and preference data using best practices such as medallion architecture or dimensional modelling.

• Collaborate with analytics, marketing, and product teams to define data requirements and deliver reliable, well-governed datasets.

• Implement data quality frameworks, monitoring, and alerting to ensure platform reliability and trustworthiness.

• Optimize pipeline performance and cost efficiency at scale.

• Partner with data governance and privacy teams to ensure compliance with GDPR, CCPA, CASL, PIPEDA, and other applicable regulations.

• Document data models, lineage, and platform architecture to a high standard.

• Mentor junior data engineers and contribute to team-wide engineering best practices.

• Evaluate and recommend new tools, frameworks, and patterns to continuously improve the platform.

Requirements
• 10+ years of professional experience in data engineering.

• Expert-level SQL and strong proficiency in Python (or Scala/Java).

• Hands-on experience building and operating large-scale data pipelines with tools such as Apache Spark, dbt, Airflow, Kafka, Matillion or equivalents.

• Solid experience with cloud data platforms (AWS, GCP, or Azure) and modern data warehouses (Snowflake, BigQuery, Redshift, or Databricks).

• Experience working with CDPs, unified guest/customer data platforms, or complex identity resolution problems such as Amperity, DOMO, Acxiom, Informatica or TAMR.

• Strong command of data modelling concepts—dimensional modelling, data vault, or similar.

• Experience with streaming or event-driven architectures (Kafka, Kinesis, STRiiM, Stream Sets, Stitch, Pub/Sub, or similar).

• Deep understanding of data governance, data quality, and privacy-by-design principles.

• Excellent written and verbal communication skills with a track record of effective cross-functional collaboration.

Nice to Have
• Experience with Salesforce Data Cloud, Marketing Cloud, Service Cloud and Sales Cloud, Segment, or commercial CDP products.

• Background in hospitality, membership, or event-driven guest data environments.

• Familiarity with real-time personalization pipelines or ML feature engineering.

• Knowledge of graph databases or identity resolution tooling.

• Experience with data mesh or data product ownership models.