Sr. Data Architect

As a Senior Data Architect at e.l.f. Beauty, Inc., you will play a critical role in shaping the company's global data architecture and vision. Your responsibilities will include: - **Enterprise Data Strategy:** Design, define, and maintain a holistic data strategy and roadmap that aligns with corporate objectives and fuels digital transformation. Ensure data architecture and products align 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 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. - **Cross-Functional Collaboration:** Partner with various departments to embed data-driven practices and deliver business impact. Lead integration of data from multiple sources to a unified data warehouse. - **Cloud Optimization:** Optimize data flows, storage for performance and scalability. Lead data migration priorities, manage metadata repositories, and data dictionaries. Optimize databases and pipelines for efficiency. - **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 a 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, 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. - Proficiency in one or more programming languages such as Python, Java, or Scala.,