Director - Data Engineering & Architecture

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 retail 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

The Director of Data Engineering & Architecture is a leadership role responsible for design, development & implementation of all data engineering and analytics initiatives within the organization. This role plays a critical part in leveraging data to drive informed decision-making, enhance business operations, and achieve competitive advantages.  

Responsibilities include but are not limited to:

• Develop and communicate a clear vision and strategy for data engineering and analytics aligned with the organization's goals and objectives. 
• Collaborate with business leads and technology peers to identify opportunities where data can be used to create business value. 
• Lead, mentor, and manage a high-performing team of data engineers, data analysts, data scientists, and other professionals. 
• Foster a culture of innovation, collaboration, and continuous learning within and across other technology teams. 
• Outline the strategic and long term approach and execution for scaled and flexible architecture for end to end data management to drive Vuori’s analytics journey 
• Thought leader in data architecture, ingest patterns, building high performing data warehouse and enabling self service for global user base 
• Own the design, development, and maintenance of robust data architectures and infrastructure to support data collection, storage, processing, and retrieval. 
• Ensure data security, compliance, and data quality standards are met. 
• Define & build an enterprise data model & business semantic layer to enable reporting & self service across the organization 
• Define a path and approach towards usage of advanced analytics in business use case enablement 
• Partner with business leads in applying analytics towards use cases to test, learn and optimize business value 
• Establish processes for data visualization and reporting to provide actionable insights to stakeholders. 
• Implement data governance policies and procedures to maintain data integrity, privacy, and compliance with relevant regulations (e.g., GDPR, HIPAA). 
• Define data retention policies and data lifecycle management strategies. 
• Evaluate, select, and implement appropriate data analytics tools, platforms, and technologies to support the team's objectives. 
• Stay up-to-date with industry trends and emerging technologies in data engineering and analytics. 
• Collaborate with cross-functional teams to ensure that data-driven insights are integrated into decision-making processes. 
• Communicate data-driven insights and recommendations to executive leadership and key stakeholders. 
• Establish KPIs and metrics to measure the impact and effectiveness of data engineering and analytics initiatives. 
• Regularly review and analyze performance data to identify areas for improvement. 

Qualifications

• Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Engineering); a Master's degree is preferred. 
• Proven experience (typically 10+ years) in data engineering, data analytics, and leadership roles, with a track record of successfully delivering data-driven solutions. 
• Strong knowledge of data engineering concepts, data warehousing, data modeling, ETL processes, and cloud-based technologies (e.g., AWS, Azure, GCP). 
• Proficiency in data analytics, statistical analysis, and data visualization tools (e.g., Python, R, Tableau, Power BI, Microstrategy among other tools). 
• Exceptional leadership, communication, and interpersonal skills. 
• Ability to work collaboratively in a dynamic, cross-functional environment. 
• Very strong problem-solving and strategic thinking abilities. 
• Knowledge of data privacy and compliance regulations. 
• Demonstrated experience managing budgets and resources and building high performing teams. 

Additional Information

Pay Range: $187,000-$220,000/year

Benefits:

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

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