Principle Data Engineer at Xponential Fitness LLC – XPO Headquarters – Irvine, CA,

• Principle Data Engineer at Xponential Fitness LLC – XPO Headquarters – Irvine, CA, 92614

Job Location XPO Headquarters – Irvine, CA Position Type Full Time Salary Range $175000.00 – $195000.00 Salary

Who We Are:

Xponential Fitness is the curator of leading brands across every vertical in the boutique fitness industry. Xponential Fitness’ portfolio of brands includes Club Pilates, the nation’s largest Pilates brand;
Cycle Bar, the nation’s largest indoor cycling brand;
Stretch Lab, a concept offering one-on-one and group stretching services;
Yoga Six, the largest franchised yoga brand;
Pure Barre, a total body workout that uses the ballet barre to perform small isometric movements;
Rumble, a boxing-inspired full-body workout; and BFT, a functional training and strength-based fitness program; and Lindora, a medically supervised weight loss clinic.

Job Overview:

The Principal Data Engineer will lead the design and evolution of Xponential Fitness’s enterprise data architecture, enabling scalable, secure, and high-performing data infrastructure that powers real-time analytics, AI/ML capabilities, and strategic decision‑making across the organization. This role sits at the intersection of data strategy and engineering execution —responsible for building an integrated data ecosystem that supports Xponential’s diverse portfolio of brands and digital platforms.

The Principal Data Engineer will partner cross‑functionally with leaders in AI, application development, business intelligence, and cybersecurity to ensure the right data is available, trustworthy, and actionable across the enterprise. This leader will play a critical role in advancing the company’s data modernization agenda, establishing best‑in‑class data practices, and unlocking value through insights, automation, and innovation.

Key Responsibilities:

• Enterprise Data Architecture & Engineering.
• Design and implement resilient, cloud‑native data architectures supporting both batch and real‑time pipelines.
• Lead the ingestion, transformation, and orchestration of data via Fivetran, Apache Airflow, and Python‑based ETL/ELT.
• Standardize pipelines from member management and point of sales systems, digital platforms, and Mar Tech tools into a centralized lakehouse and warehouse.
• Partner with software engineering teams to ensure pipelines are CI/CD‑enabled using Git Hub Actions and Code Pipeline.
• Optimize compute, storage, and processing layers to ensure scalable, secure, and cost‑effective data operations.
• Integrate modern container orchestration, caching, and task automation approaches to support data enrichment, transformation, and delivery at scale.
• Leverage infrastructure‑as‑code and CI/CD pipelines to standardize deployments and reduce operational overhead.
• Align data platform architecture with application and Dev Ops workflows to support consistent, governed, and observable services across brands and environments.
• AI/ML Data Enablement.
• Collaborate with AI engineers to enable end‑to‑end MLOps, feature engineering pipelines, and training data provisioning.
• Ensure pipelines support model retraining, scoring, and inference workloads across ECS and Lambda environments.
• Prepare time‑series, transactional, and behavioral datasets for model consumption.
• Governance, Security & Compliance.
• Define and enforce data governance policies including lineage, metadata management, and data quality rules.
• Implement encryption, RBAC, and masking strategies to protect personal and sensitive business data.
• Ensure infrastructure and data flows meet regulatory and contractual obligations (e.g., SOX, PCI, GDPR).
• Monitoring, Observability & Cost Optimization.
• Instrument data workflows with Cloud Watch, Kinesis Firehose, Sumo Logic, Sentry, and New Relic for real‑time visibility.
• Tune Snowflake performance, control costs, and monitor data freshness across the platform.
• Automate validation and anomaly detection to ensure continuous pipeline reliability.
• Collaboration & Technical Leadership.
• Lead architecture reviews and cross‑functional design sessions across data, application, and security teams.
• Tra…