Director, Data Engineering
- Technologist: Strong engineering and technology background with the ability to build, mentor, and lead a global team of talented data engineers, fostering a culture of technical excellence, collaboration, "roll up your sleeves" engagement, and continuous learning. People leader with a technology focus, and scale the organization effectively.
- Build & Operate: Oversee the development and operation of critical data pipelines (batch and real-time), ensuring high availability, data quality, and adherence to SLAs to support global operational workflows. Champion best practices in data modeling, ETL/ELT processes, and data governance. Oversee development of end to end data integration capabilities, enabling data consumption and insights.
- Drive Innovation & Modernization: Stay ahead of industry trends and identify opportunities to leverage emerging technologies and open-source products to enhance our data capabilities. Lead efforts to modernize existing data stacks and automate processes.
- Collaborate & Influence: Act as a key strategic partner and effective communicator with stakeholders across the company, including senior leadership. Understand diverse business needs, translate requirements into technical solutions, and drive adoption of data platforms. Bring energy and enthusiasm to the stakeholders.
- Ensure Excellence: Establish and maintain high standards for data fidelity, security, privacy, and operational stability within the data platform, conducting design and code reviews to ensure compliance.
- Bachelor's degree in Computer Science, Engineering, or a related quantitative field
- 12+ years of progressive experience in data engineering, data warehousing, and/or building large-scale data platforms
- 5+ years of proven experience in people management, scaling, and developing data teams, including experience managing managers
- Deep expertise in data architecture principles and designing solutions for complex, global data ecosystems (lakes, warehouses, streaming)
- Hands-on experience with cloud data platforms and associated services
- Experience with infrastructure-as-code (IaC) and CI/CD practices for data pipelines within a DevOps mindset
- Proficiency with modern data stack technologies (e.g., Airflow, dbt, Kafka) and data warehousing solutions (e.g., Snowflake, BigQuery, Databricks)
- Strong programming skills (e.g., Python, Spark, Java) and SQL expertise
- Demonstrated ability to lead large-scale, cross-functional technical projects and initiatives in an Agile environment
- Exceptional communication, collaboration, partnership attitude, and strategic thinking skills
- Experience operating in a global enterprise environment
- Master's degree in a relevant technical field
- Proven track record of driving data quality and governance initiatives
- Relevant CPG experience in Finance, Supply Chain, Sales, data domains
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