INFOPARK

Data Architect

Data Architect – Guest 360 Customer Data Platform
Full-time • Data Architecture • 12+ years experience required

About the Role
We are seeking an experienced Data Architect to lead the design and evolution of the data architecture powering our Guest 360 Customer Data Platform (CDP). In this strategic role, you will define the end-to-end data architecture, data models, and integration patterns that unify guest data across all touchpoints — from pre-cruise to onboard and post-cruise experiences.

You will work closely with engineering, marketing, operations, and product teams to create a scalable, flexible, and future-proof foundation that enables real-time personalization, advanced analytics, and exceptional guest experiences.

This is a high-visibility role at the center of our data strategy, focused on architecture excellence, identity resolution, and enabling a true 360-degree view of every guest.

Responsibilities
Lead the design and architecture of the Guest 360 CDP, including data ingestion, storage, modeling, and consumption layers.
Design robust guest identity resolution frameworks and unified customer profiles across multiple source systems.
Define and maintain enterprise data models, medallion architecture, dimensional modeling, and data vault strategies tailored for guest data.
Architect scalable batch and real-time data pipelines and integration patterns with marketing, operational, and loyalty systems.
Evaluate, recommend, and oversee implementation of modern data platforms, including Salesforce Data Cloud, Marketing Cloud, and other commercial CDP solutions.
Establish data governance, lineage, quality, and privacy-by-design standards to ensure compliance with GDPR, CCPA, and other regulations.
Collaborate with cross-functional teams to translate business requirements into scalable technical architecture and data products.
Define reference architectures and best practices for data integration, identity management, and real-time activation.
Mentor data engineers and analysts while driving architecture decisions and technical standards across the team.
Stay current with emerging technologies and recommend innovations to continuously evolve the Guest 360 platform.
Requirements
12+ years of progressive experience in data architecture and large-scale data platforms.
Strong expertise in designing Customer Data Platforms (CDP) or unified guest/customer 360 solutions.
Deep experience with complex identity resolution and master data management (e.g., Amperity, Informatica, Acxiom, TAMR, or similar).
Hands-on experience with Salesforce Data Cloud, Marketing Cloud, Service Cloud, Sales Cloud, Segment, or other commercial CDP platforms.
Expert-level knowledge of data modeling (dimensional, data vault, medallion architecture) and data governance principles.
Strong proficiency in cloud data platforms (AWS, GCP, or Azure) and modern data warehouses (Snowflake, BigQuery, Databricks).
Experience designing both batch and real-time/streaming data architectures (Kafka, Kinesis, or equivalent).
Excellent communication and collaboration skills with a proven ability to influence stakeholders across technical and business teams.
Nice to Have
Background in hospitality, cruise, luxury travel, or membership/loyalty programs.
Experience with real-time personalization engines and ML feature stores.
Familiarity with graph databases for relationship modeling.
Knowledge of data mesh architecture and data product ownership models.
Previous experience leading data architecture for large-scale digital transformation initiatives.

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.