Principal Data Engineer

Vuori is an athletic apparel company inspired by an active coastal California lifestyle. The company is seeking a Principal Data Engineer to design, build, and scale data pipelines across raw ingestion, staging, and curated layers for analytics. The role also establishes technical standards, contributes to CI/CD, and mentors data engineers.

Responsibilities:

• Move data through the full pipeline lifecycle — raw/src, staging, and curated layers — applying appropriate transformation, validation, and testing at each stage to prepare data for analytics consumption
• Build and maintain Azure Data Factory (ADF) pipelines to orchestrate ingestion and transformation across source, curated, and serving layers
• Design ingestion patterns for a range of raw source formats — REST/SOAP APIs, flat files (CSV, fixed-width), JSON, and XML — landing them reliably into the src layer before transformation
• Build resilient API extraction logic handling pagination, rate limiting, incremental/delta pulls, and schema drift from third-party sources
• Parse and flatten semi-structured JSON payloads (nested objects, arrays) into queryable relational structures within Snowflake
• Handle file-based ingestion at scale — SFTP/blob drops, file validation, schema enforcement, and reprocessing/backfill logic for late or malformed files
• Contribute to ADF pipeline CI/CD, deploying through Azure DevOps/GitHub Actions across dev/UAT/prod environments
• Set technical standards for pipeline design, code quality, and testing, and mentor other data engineers on the team

Requirements:

• Hands-on experience with Azure Data Factory (ADF) — pipelines, data flows, linked services, integration runtimes, and triggers
• Experience extracting and normalizing raw data from heterogeneous sources: REST APIs, flat files, JSON/XML, and SFTP/blob-based drops
• Comfortable writing extraction logic that handles pagination, authentication (API keys, OAuth), and incremental sync patterns
• Experience parsing and modeling semi-structured/nested JSON data within a cloud data warehouse (e.g., Snowflake VARIANT/FLATTEN)
• 8+ years of experience in data engineering or a related field, including experience operating at a senior or technical lead level
• Strong proficiency in SQL and at least one programming language commonly used in data engineering (Python, Scala, or Java)
• Strong communication skills and experience working cross-functionally with analytics, product, and engineering teams
• Experience with dbt or similar transformation frameworks
• Familiarity with infrastructure-as-code (Terraform, ARM/Bicep) and broader CI/CD practices
• Exposure to real-time analytics or streaming technologies
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience preferred