Data Architect

About the Company

e.l.f. Beauty, Inc. stands with every eye, lip, face and paw. Our deep commitment to clean, cruelty free beauty at an incredible value has fueled the success of our flagship brand e.l.f. Cosmetics since 2004 and driven our portfolio expansion. Today, our multi-brand portfolio includes e.l.f. Cosmetics, e.l.f. SKIN, pioneering clean beauty brand Well People, Keys Soulcare, a groundbreaking lifestyle beauty brand created with Alicia Keys and Naturium, high-performance, biocompatible, clinically-effective and accessible skincare.

In our Fiscal year 24, we had net sales of $1 Billion and our business performance has been nothing short of extraordinary with 23 consecutive quarters of net sales growth. We are the #2 mass cosmetics brand in the US and are the fastest growing mass cosmetics brand among the top 5. Our total compensation philosophy offers every full-time new hire competitive pay and benefits, bonus eligibility (200% of target over the last four fiscal years), equity, flexible time off, year-round half-day Fridays, and a hybrid 3 day in office, 2 day at home work environment. We believe the combination of our unique culture, total compensation, workplace flexibility and care for the team is unmatched across not just beauty but any industry.

Visit our Career Page to learn more about our team: https://www.elfbeauty.com/work-with-us

Position Summary

We are seeking a skilled Data Architect to join our dynamic team. The Data Architect will also be responsible for designing, developing, and maintaining our data architecture and infrastructure. This role involves strategic planning, data modeling, and collaborating with cross-functional teams to ensure the integrity and efficiency of our data systems. The Data Architect candidate will work closely with data scientists, analysts, engineers and business stakeholders to ensure that our data is accurate, secure, and accessible for all users. The ideal candidate will also have a strong background in data management, architecture frameworks, and a proven track record of leading data transformation initiatives.

Responsibilities:

• Develop and maintain the overall data architecture strategy and roadmap.
• Design data models, database structures, and data integration solutions to support large volumes of data.
• Ensure data architecture and products aligns with enterprise standards and best practices.
• Evaluate emerging data technologies and tools to improve data architecture.
• Oversee data integration processes, including ETL/ELT workflows.
• Establish and enforce data governance policies and procedures.
• Oversee data quality, data security, and compliance initiatives.
• Lead the integration of data from multiple sources into a unified data warehouse.
• Optimize data flows and data storage solutions for performance and scalability.
• Lead data migration projects to modern platforms or cloud services
• Manage metadata repositories and data dictionaries.
• Optimize databases and data pipelines for efficiency.
• Lead the implementation of new data platforms and technologies.
• Establish monitoring systems to track data quality and system performance
• Collaborate with vendors and service providers as needed.
• Provide guidance and mentorship to data engineers, analysts and other team members.
• Foster a culture of innovation, collaboration, and continuous improvement within the team.
• Create and maintain detailed documentation for data architectures, processes, and policies.

Requirements:

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field
• 10+ years of experience in Information Technology
• 5+ years of experience in data architecture, data engineering, or a related field, with a focus on large-scale, distributed systems.
• Knowledge of data warehousing, ETL/ELT processes, and data modeling
• Deep understanding of data modeling principles, including schema design and dimensional data modeling.
• Strong SQL development experience including SQL Queries and stored procedures
• Ability to architect and develop scalable data solutions, staying ahead of industry trends and integrating best practices in data engineering.
• Familiarity with data security and governance best practices
• Experience with cloud computing platforms such as AWS, Azure, or GCP
• Excellent problem-solving abilities with a focus on data analysis and interpretation.
• Strong communication and collaboration skills.
• Ability to translate complex technical concepts into actionable business strategies.
• Proficiency in one or more programming languages such as Python, Java, or Scala

This job description is intended to describe the general nature and level of work being performed in this position. It also reflects the general details considered necessary to describe the principal functions of the job identified, and shall not be considered, as detailed description of all the work required inherent in the job. It is not an exhaustive list of responsibilities, and it is subject to changes and exceptions at the supervisors’ discretion.

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