Note: The job is a remote job and is open to candidates in USA. Crate & Barrel is seeking an inspiring and transformative Senior Director of Data Engineering. The role involves leading a team of Data Engineers, driving strategic planning and execution, and championing the data engineering vision and strategy to enhance data capabilities.
Responsibilities
- Provide executive leadership and strategic direction for a multi-faceted Data Engineering organization spanning multiple product lines or technological domains
- Define and champion the long-term technology vision, data analytics and AI strategy, architecture, and roadmap, ensuring it aligns with and advances the company's strategic objectives, leveraging a comprehensive understanding of data platforms
- Lead and mentor a team senior data engineering leaders, cultivating an environment of excellence, innovation in data utilization and continuous growth
- Drive the execution of strategic data engineering initiatives, ensuring the successful delivery of highly scalable, reliable, and impactful data platforms
- Collaborate with C-level executives and other senior leaders across the company to influence overall business strategy and ensure tight alignment between data engineering and other functions, demonstrating the strategic value of data
- Oversee strategic workforce planning, talent acquisition, and organizational development to build and sustain a world-class data engineering team
- Champion a culture of innovation in data processing and technical excellence in data engineering, positioning the company as a leader in its data capabilities
- Represent the company's data engineering capabilities and vision to external and internal stakeholders, including key customers, partners, and industry analysts
- Anticipate and navigate complex technological and market shifts in data management, guiding the organization through periods of change and growth in its data
- Lead modernization of the enterprise data platform on Google Cloud Platform (BigQuery) and establish a scalable, secure, AI-ready data foundation
- Drive implementation of a Medallion Data Architecture (Bronze, Silver, Gold) and reusable enterprise data products
- Own engineering standards for ELT/ETL, orchestration, CI/CD, DataOps, observability, testing, Infrastructure as Code, reliability, and cost optimization
- Partner with Data Governance, Enterprise Architecture and other teams to operationalize data quality, metadata, lineage, security, privacy, and master data standards
- Enable advanced analytics, machine learning, and Generative AI through trusted, governed, high-quality data assets
- Lead engineering teams responsible for batch and streaming pipelines, APIs, platform operations, cloud infrastructure, and production support
- Develop multi-year platform roadmaps balancing innovation, technical debt reduction, operational excellence, and business value
- Build and mentor a world-class engineering organization while fostering accountability and technical excellence
Skills
- 15+ years of data engineering experience
- 7+ years in management
- Exceptional executive leadership, strategic vision in data, and organizational development capabilities
- Deep and broad understanding of current and emerging data processing technologies, data architectural paradigms (e.g., data mesh, data lakehouse), cloud-native data, and engineering best practices for data
- Outstanding business acumen and financial literacy, with experience managing significant budgets and linking data investments to tangible business outcomes and strategic value
- Superior communication, negotiation, and influencing skills, with the ability to build strong relationships and drive alignment at the executive level on data strategies
- Demonstrated success in building, scaling, and leading high-performing, geographically distributed data and machine learning engineering teams
- Expertise in driving large-scale data transformation initiatives and fostering a culture of innovation in data utilization, agility in delivery, and operational excellence in data systems
- Ability to think strategically about long-term industry trends in data and translate them into actionable data engineering strategies
- Strong problem-solving skills, with the ability to make critical decisions in complex and ambiguous data situations
- Proven track record of developing and mentoring senior data engineering leaders
- Bachelor's or Master's degree in Computer Science, Engineering or related field
Benefits
- This position is fully remote
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