Data Platform AI Enablement Engineer: Classic Vacations, LLC

Classic Vacations is seeking a Data Platform & AI Enablement Engineer to lead the transformation of its digital backbone. This strategic role is responsible for stabilizing critical data flows, modernizing the data architecture, and enabling scalable, AI-powered systems for both internal and external customers. The engineer will be an "architect of possibility," empowering decision-making across the company, eliminating inefficiencies, and laying the groundwork for robust, ethical AI and machine learning pipelines.

Responsibilities
The role is structured in three phases:

Phase 1: Stabilize and Maintain Today’s Ecosystem

Administer and tune Microsoft SQL Server environments.

Manage Tableau Server/Cloud, ensuring reliable dashboards and permissions.

Monitor and support reports for Finance, Product, and CX with data quality checks.

Phase 2: Modernize the Platform

Design schemas in Amazon Redshift or Google BigQuery for cloud scalability.

Build, test, and document dbt pipelines managed with Terraform and Git-based CI/CD.

Replace manual data feeds with validated ingestion pipelines using tools like Great Expectations.

Phase 3: Enable AI at Scale

Stand up streaming architectures (e.g., Kafka, Kinesis) and manage ML feature stores.

Embed analytics into customer-facing applications via APIs.

Implement data observability solutions (e.g., Monte Carlo, Metaplane) to uphold data trust.

Requirements
Required Technical Experience:

A minimum of 5 years managing Microsoft SQL Server environments with expertise in performance tuning and production support.

At least 3 years of experience administering Tableau Server or Tableau Cloud, including Tableau Prep and Hyper extract pipelines.

Required Data Engineering Skills:

Strong proficiency in Python and modern SQL.

Disciplined use of Git workflows for code management.

Hands-on experience with cloud data services in AWS or GCP (e.g., Redshift, BigQuery, S3).

Production-level experience with dbt (data build tool), Terraform, and automated data validation frameworks like Great Expectations.

Required Platform & Infrastructure Expertise:

A solid understanding of CI/CD principles, infrastructure-as-code, and scalable data platform design.

Preferred Qualifications:

Experience optimizing Tableau performance.

Experience implementing embedded analytics with row-level security.

Experimentation with modern AI data patterns such as vector stores or RAG for LLM applications.