Our Story Launched in 2015, S ol de J aneiro is a globally recognized, award-winning beauty brand, drawing inspiration from Brazil’s beauty rituals, warmth, and spirit. S ol de J aneiro delivers a sensory experience beloved by multi-generational consumers worldwide, with clinically proven results, transformative textures, and transportive fragrances. Headquartered in New York and launched as a digitally native brand, we have expanded globally with teams in Paris, London, and Germany.

Our commitment to excellence has earned high-profile honors, including being named one of TIME1 00’s 2024 Most Influential Companies, Fast Company’s 2024 World's Most Innovative Companies, and WWD Beauty Inc’s Power Brands of 2024, underscoring its leadership in the beauty industry and outstanding workplace . These accolades highlight our dedication to being a leading brand in the beauty industry and an exceptional workplace.

What You’Ll Do

Sol de Janeiro is seeking a Director of Data to build and lead our enterprise data practice. This is a leadership role responsible for establishing the foundational data infrastructure that will power analytics, reporting, and data-driven decision making across the organization. You will own the full data stack: data engineering and pipelines, the Databricks data lake, business intelligence through DOMO, data analysis capabilities, and data governance.

Your primary mission is to build a proper medallion architecture with well-defined Gold tables that serve as the single source of truth for the business, eliminating scattered ETL logic and enabling true self-service analytics. This role is ideal for a strategic data leader who can envision the end state, build the roadmap to get there, and lead a team through foundational infrastructure work that will take approximately a year to fully realize.

What You'Ll Do

Build the Foundation Architect and oversee implementation of a medallion architecture (Bronze/Silver/Gold) in Databricks Define and build Gold tables that serve as the canonical, business-ready data layer Eliminate ETL logic from DOMO, moving all transformation upstream into proper data pipelines (final-mile formatting excepted) Establish data modeling standards, naming conventions, and documentation practices that enable self-service consumption Team Leadership Development Lead a team of 4 data professionals including data engineers and analysts, with potential for growth Establish clear roles, career paths, and performance expectations Build a team culture centered on data quality, documentation, and serving business stakeholders Partner with HR on hiring decisions and team composition as the function scales Operational Excellence Own the reliability and performance of all data pipelines and the Databricks platform Establish SLAs with business partners for data freshness, quality, and availability Create and track success metrics including pipeline reliability, Gold table coverage, data quality scores, and stakeholder satisfaction Implement data quality monitoring and alerting to catch issues before they impact downstream consumers Business Partnership Partner with Finance, Marketing, Supply Chain, and Operations to understand their data needs Translate business

Requirements

into data models and pipeline specifications Enable self-service analytics by building intuitive, well-documented data products Serve as the data authority for the organization, establishing trust in a single source of truth Cross-Functional Collaboration Partner closely with the Director of Integrations to ensure seamless data flows from source systems into the data lake Coordinate with integration team on data delivery

and SLAs Support SAP S/4HANA migration by ensuring data architecture is ready for new source system patterns Collaborate with Security on data access controls, privacy

, and compliance Strategic Planning Develop the multi-year data strategy and roadmap aligned with business priorities Build bu