Senior Data Architect

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July 4

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E.L.F. BEAUTY

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Beauty • Retail • eCommerce

E. L. F. BEAUTY is a beauty company dedicated to disrupting the norms of the industry by promoting positivity, inclusivity, and accessibility. The company offers a range of premium-quality makeup and skincare products at affordable prices, with a focus on clean beauty and empowerment. Their brands include e. l. f. Cosmetics, e. l. f. SKIN, and Well People, among others, aiming to create a bold and kind approach to beauty that connects communities and challenges the status quo.

201 - 500 employees

Founded 2004

💄 Beauty

🛒 Retail

🛍️ eCommerce

💰 $225.2M Post-IPO Secondary on 2017-03

📋 Description

• 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. • In our Fiscal year 24, we had net sales of $1 Billion and our business performance has been nothing short of extraordinary with 24 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. • We're looking for a strategic and technically strong Senior Data Architect to join our high-growth digital team. • The selected person will play a critical role in shaping the company’s global data architecture and vision. • The ideal candidate will lead enterprise-level architecture initiatives, collaborate with engineering and business teams, and guide a growing team of engineers and QA professionals. • This role involves deep engagement across domains including Marketing, Product, Finance, and Supply Chain, with a special focus on marketing technology and commercial analytics relevant to the CPG/FMCG industry. • The candidate should bring a hands-on mindset, a proven track record in designing scalable data platforms, and the ability to lead through influence. • An understanding of industry-standard frameworks (e.g., TOGAF), tools like CDPs, MMM platforms, and AI-based insights generation will be a strong plus. • Curiosity, communication, and architectural leadership are essential to succeed in this role.

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field • 18+ years of experience in Information Technology • 8+ years of experience in data architecture, data engineering, or a related field, with a focus on large-scale, distributed systems. • Strong understanding of data use cases in the CPG/FMCG sector. Experience with tools such as MMM (Marketing Mix Modeling), CDPs, ProfitSphere, or inventory analytics preferred. • Awareness of architecture frameworks like TOGAF. Certifications are not mandatory, but candidates must demonstrate clear thinking and experience in applying architecture principles. • Must possess excellent communication skills and a proven ability to work cross-functionally across global teams. Should be capable of leading with influence, not just execution. • 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 Snowflake, 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

🏖️ Benefits

• competitive pay and benefits • bonus eligibility (200% of target over the last four fiscal years) • equity • flexible time off • year-round half-day Fridays • hybrid 3 day in office, 2 day at home work environment