Principal Data Engineer

Were 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. Youll 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. Youll 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 youll 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 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 

Qualifications :

Who you are:

• 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 
• Bachelors degree in Computer Science Engineering or a related field or equivalent practical experience preferred 
• 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 

Additional Information :

Our investment in you:

At Vuori were proud to offer the following to our employees: 

• Health Insurance 
• Savings and Retirement Plan  
• Employee Assistance Program 
• Generous Vuori Discount & Industry Perks 
• Paid Time Off  
• Wellness & Fitness benefits  

The salary range for this role is $173000 per year - $222495 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.

Remote Work :

Yes

Employment Type :

Full-time