The Data Platform & Analytics Engineer is the foundation of Carnival Corporation's corporate data capability. This role is responsible for building and maintaining the Snowflake-based data platform, implementing MDM processes to create trusted, governed data assets, and ensuring all data is structured, clean, and AI-ready for consumption by the AI / ML Engineer. The ideal candidate brings deep expertise in cloud data architecture, pipeline engineering, and master data management, with a strong commitment to architectural best practices. This is a highly technical individual contributor role that directly enables the organization’s AI and analytics ambitions by ensuring the right data is available, reliable, and fit for purpose.

Essential Functions:

Data Architecture & Snowflake Platform Engineering:

• Design, build, and maintain a layered Snowflake data architecture covering RAW, MDM, and Curated layers

• Apply and enforce architectural best practices across all platform layers including naming conventions, access patterns, and performance optimization

• Manage Snowflake environments, warehouses, roles, and resource monitors to ensure platform reliability and cost efficiency

• Own the design and documentation of the overall data platform architecture, ensuring scalability as source systems and use cases grow

Pipeline Engineering & New Source Integration:

• Build and maintain ELT/ETL pipelines ingesting data from multiple corporate source systems into Snowflake

• Lead onboarding new data sources into the Snowflake data lake, including schema design, transformation logic, and data quality checks

• Develop and maintain API-based and file-based integrations as part of the ingestion layer

• Own pipeline reliability, scheduling, monitoring, and incident response across all ingestion workflows

Master Data Management (MDM)

• Implement and maintain the MDM layer using an enterprise MDM platform, producing trusted golden records for key business entities

• Design entity models, matching rules, survivorship logic, and deduplication workflows

• Manage data lineage from source systems through to the MDM and curated layers

• Work with departmental data stewards to validate entity definitions and ensure domain data quality standards are met

• Informatica MDM experience is a strong plus; broader enterprise MDM platform experience is required

Data Governance & Quality Implementation:

• Implement data governance standards within the platform using enterprise data governance tooling

• Apply classification, tagging, data masking, and access controls consistently across all data layers

• Maintain the data catalogue, lineage metadata, and access governance records

• Experience with Horizon Data Governance or Informatica Data Governance is a strong plus

• Build and maintain dbt models, tests, and documentation to enforce data quality standards across the platform

AI Data Readiness:

• Prepare and maintain curated data layer optimized for AI and ML consumption

• Own export patterns that make data available to AI workload Partner with AI/ML Engineers to define data contracts, schema standards, and feature-ready structures

• Ensure AI-bound data assets meet quality, completeness and freshness requirements

Observability & Platform Operations:

• Implement observability tooling to monitor pipeline health, data freshness, and anomaly detection at scale.

• Own platform cost monitoring and optimization, including warehouse sizing and query performance tuning.

• Maintain platform runbooks, architecture documentation, and operational playbooks

Knowledge, Skills & Abilities:

• Scope: The Data Platform & Analytics Engineer operates with significant autonomy over the design and implementation of Carnival Corporation's corporate data platform. This role holds decision-making authority over data architecture, pipeline design, MDM entity modelling, source system integration, and data governance implementation within the platform. Day-to-day work spans ingestion pipeline development, Snowflake layer management, MDM configuration, and ongoing data quality operations. The role works in close partnership with the AI / ML Engineer to ensure curated data layers meet AI workload requirements and collaborates with the Data Governance Lead and departmental data stewards to implement classification, lineage, and access standards. Common challenges include managing complexity across a growing number of source systems, maintaining MDM golden record quality at scale, and ensuring the platform remains performant and cost-efficient as data volumes grow. Candidates who combine strong architecture instincts with a hands-on approach to delivery will thrive in this role.

• Problem solving: Demonstrates strong analytical thinking to design, build, and operate a scalable, governed enterprise data platform that supports analytics and AI use cases. Translates complex, multi-source business data requirements into a cohesive Snowflake-based architecture spanning RAW, MDM, and Curated layers. Designs resilient ELT/ETL pipelines that handle schema evolution, data quality issues, and upstream source system changes gracefully. Apply architectural best practices to resolve performance, scalability, and cost challenges in Snowflake environments. Diagnoses and remediate data pipeline failures, data quality defects, and platform incidents using structured root cause analysis. Designs effective master data models, matching rules, and survivorship logic to resolve duplicate or conflicting enterprise data entities. Competing balance needs of governance, usability, performance, and speed when deciding how data should be modeled, stored, and exposed. Uses data observability signals, quality metrics, and lineage to proactively identify risks before they impact consumers or AI workloads. Makes informed trade-offs between build vs. configure, platform capabilities vs. custom logic, and short-term delivery vs. long-term sustainability.

• Impact: Enables trusted, high-quality data at scale, directly powering Carnival Corporation’s analytics maturity and AI-driven initiatives. Delivers a reliable Snowflake data platform that consistently provides clean, governed, and timely data to downstream analysts and AI/ML Engineers. Establishes trusted “golden records” through MDM that improve enterprise reporting accuracy and cross-system alignment. Reduces data-related rework and downstream failures by enforcing strong data quality, validation, and governance standards. Improves time-to-value for new analytics and AI use cases by accelerating source onboarding and standardized data modeling. Optimizes platform cost and performance through proactive warehouse tuning, query optimization, and resource governance. Increases confidence in enterprise data by implementing transparent lineage, cataloging, and access controls. Ensures AI-bound data meets strict quality, freshness, and completeness requirements, directly influencing the success of AI agents and models. Creates reusable patterns, templates, and reference architectures that scale as the number of domains and data sources grows.

• Leadership: Acts as a technical and architectural leader who sets standards, builds trust, and enables others through expertise and ownership. Owns the Snowflake data platform end-to-end, including architecture, pipelines, governance implementation, and day-to-day operations. Serves as a trusted partner to AI / ML Engineers, data stewards, and business stakeholders to align data structures with consumption needs. Establishes and reinforces architectural and governance best practices across all data layers. Leads technical decision-making for data modeling, MDM design, and platform tooling with a long-term enterprise perspective. Proactively identifies risks in data quality, platform scalability, or governance compliance and addresses them before they become blockers. Leads incident response for data platform and pipeline issues, driving blameless postmortems and systemic improvements. Mentors’ peers and enables cross-team success by producing high-quality documentation, runbooks, and architectural diagrams. Demonstrates accountability, consistency, and attention to detail in maintaining a platform others can rely on with confidence.

Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, Mathematics or Statistics or a related field.

• 6+ years of experience in data engineering, data platform engineering, or a closely related technical discipline

• Demonstrated experience designing and building production data pipelines and cloud data platforms

• Hands-on experience with MDM platforms and enterprise data governance tools

• Experience working in a corporate or enterprise environment preferred

• Strong hands-on expertise with Snowflake including architecture design, performance tuning, and platform administration

• Proficiency with dbt for data transformation, testing, and documentation

• Solid understanding of ELT/ETL pipeline design and orchestration best practices

• Experience with AWS S3 and cloud-based data storage and export patterns

• Strong MDM experience required: entity modelling, golden record management, deduplication, and survivorship logic

• Experience with data governance implementation including classification, lineage, access controls, and data cataloguing

• Strong data architecture instincts with a track record of applying and enforcing best practices

• Proficiency in SQL and Python for data transformation and pipeline development

• Informatica MDM experience is a strong plus

• Experience with Snowflake Horizon Data Governance or Informatica Data Governance is a strong plus

• Familiarity with Snowflake AI tooling and preparing data for ML/AI consumption

• Snowflake or dbt certifications

Travel: Less than 25% with shipboard travel likely

Work Conditions: Work primarily in a climate-controlled environment with minimal safety/health hazard potential.

Physical Demands: Must be able to remain in a stationary position at a desk and/or computer for extended periods of time.

This position is classified as “in-office.” As an in-office role, it requires employees to work from a designated Carnival office in South Florida Monday through Thursday each week. Employees may work from their homes on Fridays. Candidates must be located in (or willing to relocate to) the Miami/Ft. Lauderdale area.

Offers to selected candidates will be made on a fair and equitable basis, taking into account specific job-related skills and experience.

At Carnival, your total rewards package is much more than your base salary. All non-sales roles participate in an annual cash bonus program, while sales roles have an incentive plan. Director and above roles may also be eligible to participate in Carnival’s discretionary equity incentive plan. Plus, Carnival provides comprehensive and innovative benefits to meet your needs, including:

Health Benefits:

• Cost-effective medical, dental and vision plans
• Employee Assistance Program and other mental health resources
• Additional programs include company paid term life insurance and disability coverage

Financial Benefits:

• 401(k) plan that includes a company match
• Employee Stock Purchase plan
• Paid Time Off
• Holidays – All full-time and part-time with benefits employees receive days off for 8 company-wide holidays, plus 2 additional floating holidays to be taken at the employee’s discretion.
• Vacation Time – All full-time employees at the manager and below level start with 14 days/year; director and above level start with 19 days/year.  Part-time with benefits employees receive time off based on the number of hours they work, with a minimum of 84 hours/year.  All employees gain additional vacation time with further tenure.
• Sick Time – All full-time employees receive 80 hours of sick time each year.  Part-time with benefits employees receive time off based on the number of hours they work, with a minimum of 60 hours each year.
• Other Benefits
• Complementary stand-by cruises, employee discounts on confirmed cruises, plus special rates for family and friends
• Personal and professional learning and development resources including tuition reimbursement
• On-site Fitness center at our Miami campus

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