Principal Data Engineer

Principal Data EngineerWe're looking for a Principal Data Engineer to design, build, and scale the data pipelines that bring data into our platform and make it ready for analytics. You'll work across the full pipeline lifecycle — from raw ingestion of heterogeneous sources through staging and curated layers — while playing a leading role in setting technical direction for our broader data infrastructure. You'll partner closely with fellow data engineers, data modelers, analysts, and product teams on what gets built next, and help raise the technical bar across the team.What you'll get to do: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 consumptionBuild and maintain Azure Data Factory (ADF) pipelines to orchestrate ingestion and transformation across source, curated, and serving layersDesign 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 transformationBuild resilient API extraction logic handling pagination, rate limiting, incremental/delta pulls, and schema drift from third-party sourcesParse and flatten semi-structured JSON payloads (nested objects, arrays) into queryable relational structures within SnowflakeHandle file-based ingestion at scale — SFTP/blob drops, file validation, schema enforcement, and reprocessing/backfill logic for late or malformed filesContribute to ADF pipeline CI/CD, deploying through Azure DevOps/GitHub Actions across dev/UAT/prod environmentsSet technical standards for pipeline design, code quality, and testing, and mentor other data engineers on the teamWho you are:Hands-on experience with Azure Data Factory (ADF) — pipelines, data flows, linked services, integration runtimes, and triggersExperience extracting and normalizing raw data from heterogeneous sources: REST APIs, flat files, JSON/XML, and SFTP/blob-based dropsComfortable writing extraction logic that handles pagination, authentication (API keys, OAuth), and incremental sync patternsExperience 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 levelStrong 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 teamsBachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience preferredExperience with dbt or similar transformation frameworksFamiliarity with infrastructure-as-code (Terraform, ARM/Bicep) and broader CI/CD practicesExposure to real-time analytics or streaming technologiesOur investment in you:At Vuori, we're proud to offer the following to our employees:Health InsuranceSavings and Retirement PlanEmployee Assistance ProgramGenerous Vuori Discount & Industry PerksPaid Time OffWellness & Fitness benefitsThe salary range for this role is $173,000 per year - $222,495 per year. This role is bonus eligible.Vuori is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.All your information will be kept confidential according to EEO guidelines.By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy applyJob Location