Associate Director, Data Architecture

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 25, we had net sales of $1 Billion and our business performance has been nothing short of extraordinary with 26 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, 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

Job Summary:
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.

Key Responsibilities:
• Enterprise Data Strategy: Design, define and maintain a holistic data strategy & roadmap that aligns with corporate objectives and fuels digital transformation. Ensure data architecture and products aligns with enterprise standards and best practices.
• Data Governance & Quality: Establish scalable governance frameworks to ensure data accuracy, privacy, security, and compliance (e.g., GDPR, CCPA). Oversee quality, security and compliance initiatives
• Data Architecture & Platforms: Oversee modern data infrastructure (e.g., data lakes, warehouses, streaming) with technologies like Snowflake, Databricks, AWS, and Kafka.
• Marketing Technology Integration: Ensure data architecture supports marketing technologies and commercial analytics platforms (e.g., CDP, MMM, ProfitSphere) tailored to the CPG/FMCG industry.
• Architectural Leadership: Act as a hands-on architect with the ability to lead through influence. Guide design decisions aligned with industry best practices and e.l.f.'s evolving architecture roadmap.
• Cross-Functional Collaboration: Partner with Marketing, Supply Chain, Finance, R&D, and IT to embed data-driven practices and deliver business impact. Lead integration of data from multiple sources to unified data warehouse.
• Cloud Optimization : Optimize data flows, storage for performance and scalability. Lead data migration priorities, manage metadata repositories and data dictionaries. Optimise databases and pipelines for efficiency. Manage and track quality, cataloging and observability
• AI/ML Enablement: Drive initiatives to operationalize predictive analytics, personalization, demand forecasting, and more using AI/ML models. Evaluate emerging data technologies and tools to improve data architecture.
• Team Leadership: Lead, mentor, and enable high-performing team of data engineers, analysts, and partners through influence and thought leadership.
• Vendor & Tooling Strategy: Manage relationships with external partners and drive evaluations of data and analytics tools.
• Executive Reporting: Provide regular updates and strategic recommendations to executive leadership and key stakeholders.
• Data Enablement : Design data models, database structures, and data integration solutions to support large volumes of data.

Qualifications and 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
• Comfort with working in US shift

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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