Director of Data

Sol de JaneiroNew York, NY
$160,000 - $180,000Hybrid

About The Position

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.

Requirements

  • 8+ years of experience in data engineering, analytics, or data platform roles, with at least 3 years in a management or leadership capacity
  • Proven experience building foundational data infrastructure—you've taken an organization from fragmented data to a cohesive, trusted data platform
  • Strong understanding of modern data architecture patterns including medallion architecture, data lakehouse concepts, and dimensional modeling
  • Track record of partnering with business stakeholders to deliver data products that drive decisions
  • Experience establishing data governance practices, quality standards, and documentation culture
  • Strong executive communication skills with ability to articulate data strategy to non-technical audiences
  • Deep familiarity with modern data platforms (Databricks strongly preferred; Snowflake, BigQuery, or similar acceptable)
  • Understanding of data pipeline orchestration and ETL/ELT patterns
  • Knowledge of SQL and data modeling best practices (star schema, slowly changing dimensions, etc.)
  • Familiarity with BI platforms and their proper role in the data stack (consumption and visualization, not transformation)
  • Understanding of data quality frameworks and monitoring approaches
  • You think in systems and can architect a coherent data ecosystem from disparate pieces
  • You are patient with foundational work, understanding that building the right infrastructure pays dividends for years
  • You can prioritize ruthlessly, knowing which Gold tables to build first based on business impact
  • You translate between technical and business languages fluently
  • You build trust by delivering reliable, well-documented data products

Nice To Haves

  • Experience with DOMO or similar BI platforms
  • Background in consumer packaged goods, retail, or e-commerce data
  • Experience supporting ERP migrations from a data perspective
  • Exposure to data governance tools and data cataloging
  • Experience with PySpark or other distributed computing frameworks

Responsibilities

  • 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
  • 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
  • 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
  • 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
  • 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 requirements 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 requirements, and compliance
  • Develop the multi-year data strategy and roadmap aligned with business priorities
  • Build business cases for platform investments and team growth
  • Stay current on data platform evolution and evaluate opportunities for capability enhancement
  • Support international expansion with data architecture that accommodates regulatory requirements

Benefits

  • Competitive salary and bonus program for full-time team members
  • Flexible hybrid work environment with opportunities for collaboration and growth
  • Inclusive culture that values diverse perspectives and celebrates individuality
  • The chance to be part of a fast-growing, award-winning global beauty brand
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