Senior Digital Data Engineer - Job ID #00077888

At Crocs, Inc., every career offers a chance to make a real impact. No two journeys look the same. And that's exactly how we like it. Whether you’re welcoming customers into our stores, collaborating with global teams at our headquarters, or keeping operations moving at our distribution centers, your impact is real and valued. At Crocs, Inc. you’re not expected to fit a mold. You’re encouraged to break it and create something better.

• Design strategies for data warehouse systems and integrate new systems with existing warehouse structure and refine system performance and functionality.
• Responsible for overall system availability and communication to global teams during times of outage.
• Deploy and manage monitoring tools that will ensure the timeliness, completeness and accuracy of all data pipelines in databricks, Azure Data Factory and OIC.
• Oversee daily system loads and control execution to ensure data integrity and alignment with other systems.
• Ensure system patching is kept up to date and drives upgrade process based on corporate cadence.
• Explore opportunities to improve system performance.
• Architect and collaborate with the data engineers on deploying new source acquisition pipelines.
• Ensure stability and performance of the existing pipelines in accordance with internal SLA’s.
• Guide the data engineering team through the enhancements of the existing data flows for source acquisition.
• Stay abreast on tool roadmap to identify opportunities and risks to current landscape.
• Lead engineering best practices, including test-driven development, agile management, and continuous integration pipelines.
• Craft technical documentation, including readme files, coding comments, and technical documents and provides guidance in this regard to the team.
• Represent data engineering in the conversations with the Crocs business community and/or the front-end analytics team and support these teams in forming a technical solution for new data developments or enhancements of the existing flows.
• Provide advice and guidance to the functional teams on best-in-class technical solutions.

Position is 100% remote.

• Master’s degree or foreign equivalent in Computer Science, Information Technology and Analytics, Engineering, Mathematics, or related field, plus one (1) year of experience in the position offered, or related occupation.

• Leading small data engineering teams.
• Working in Azure.
• Designing data models following Kimbal Dimensional Modeling best practices.
• Working with modern ETL and ELT tools, including Databricks.
• Working with Python and PySpark.
• Proficiency in SQL.
• Working with a business intelligence tool, including Power BI.
• Working with Azure Data Factory.
• Utilizing Git version control in a data environment.
• Continuous integration and deployment through Azure DevOps.

Skills may be gained through academic coursework and concurrently while pursuing academic studies.

Salary: $126,339 to $140,000 per year

This position is eligible to participate in a company incentive program.

To apply, go to Job ID # 00077888 at https://careers.crocs.com/careers/ or send resume to [email protected]. An EOE.

This notice is provided in anticipation of the filing of an application for permanent alien labor certification.  Any person may provide documentary evidence bearing on the application to the U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue NW, Room N-5311, Washington, DC 20210

#LI-DNI 

Crocs is an Equal Opportunity Employer committed to a diverse and inclusive work environment. 

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability, or any other classification protected by law.

Title: Senior Digital Data Engineer - Job ID #00077888  

Pay offered will vary based on job-related factors such as location, experience, training, skills, and abilities.