Company Description

Vuori is re-defining what athletic apparel looks like: built to move and sweat in but designed with a casual aesthetic to transition into everyday life. We draw inspiration from an active coastal California lifestyle; an integration of fitness, creative expression and life. Our high energy fast paced office environment is reflected in the clothes we make. We aim to inspire others to take on all aspects of their lives with clarity, enthusiasm and purpose…while having a lot of fun along the way. We are proud to be an outlet for opportunity and for personal growth and success.

Job Description

As a Senior Engineer – Data Management, you will be responsible for designing and implementing the data architecture, infrastructure, and tools to support the organization's data processing and analysis needs. You will work closely with data scientists, analysts, and other stakeholders to understand data requirements and ensure the efficient flow of data from various sources to data repositories. Your role will involve optimizing data systems and building scalable solutions to enable advanced analytics and business intelligence. 

Responsibilities include but are not limited to:

Data Architecture Design: 

• Design and implement scalable, high-performance data pipelines and data architecture. 
• Collaborate with data scientists and analysts to understand data requirements and design solutions accordingly.
•  Ensure data architecture meets the organization's security, compliance, and performance standards. 

Data Integration and Processing: 

• Develop and maintain ETL (Extract, Transform, Load) processes for ingesting and processing structured and unstructured data. 
• Integrate data from various sources, ensuring data quality and accuracy. 
• Optimize data processing systems for performance and reliability. 

Database Management: 

• Manage and maintain databases, ensuring data integrity, security, and performance. 
• Implement data partitioning, indexing, and optimization strategies. 
• Troubleshoot and resolve database-related issues. 

Data Technologies: 

• Work with data technologies such as Spark, Snowflake, Azure Data Factory etc 
• Implement and optimize distributed computing and storage solutions. 

Support: 

• Enable best in class, reliable and quality driven solutions that are automated and monitored 
• Provide support for issues with data pipes, restart-ability and data issues from sources 
• Work with Analytics and Application teams to ensure end to end data integrity & reliability 

Collaboration: 

• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers. 
• Provide technical leadership and mentorship to junior team members.

Documentation: 

• Document data engineering processes, architectures, and solutions. 
• Create and maintain documentation for data workflows and systems. 

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field 
• Preferred knowledge of retail and wholesale in apparel or similar businesses 
• Proven 7 years experience as a Data Engineer or a similar role. 
• Strong programming skills in languages such as Python 
• Experience with big data technologies (Hadoop, Spark) and cloud platforms (Azure & Snowflake) 
• Proficiency in SQL and database management systems (Snowflake, Synapse). 
• Knowledge of data modeling, data warehousing, and data integration techniques. 
• Familiarity with containerization and orchestration tools (e.g., ADF). 
• Excellent problem-solving and communication skills. 
• Knowledge of machine learning frameworks and analytics tools. 
• Certifications in relevant technologies (e.g., Snowflake, ADF, Synapse). 

Additional Information

Pay Range: From $136,000-$160,000/yr

Benefits:

• Health Insurance
• Paid Time Off
• Employee Discount
• 401(k)

All your information will be kept confidential according to EEO guidelines.