What you'll do:
- Technical Leadership
- Drive technical strategy and architecture for data platforms, infrastructure, and tooling
- Establish best practices, governance frameworks, and quality standards
- Evaluate and recommend new technologies and approaches to improve data capabilities
- Partner with Data Strategy Manager to translate business requirements into technical solutions
- Ensure data security, compliance, and privacy standards are maintained
- Evaluate, implement and drive adoption of new data tools and technologies
- Develop comprehensive training programs and documentation to enable self-service data access
- Create educational resources and technical guidance for cross-functional partners
- Team Leadership & Development
- Attract and build a high-performing team through strategic hiring and talent development
- Foster a culture of excellence through innovation, adaptability, collaboration, and continuous learning
- Lead, mentor, and grow a team of data engineers, analytics engineers, data scientists, and analysts through effective coaching and career development, with a keen attention to quality and consistency with best practices
- Partner with Data Strategy Manager to align team capabilities with business priorities
- Operational Excellence
- Oversee design, implementation, and maintenance of data architecture and infrastructure
- Drive efficiency and reliability improvements in data pipelines and systems
- Implement processes for monitoring, alerting, and incident management
- Manage technical debt and system scalability
- Ensure successful delivery of technical initiatives on time and with high quality
- In partnership with the Data Strategy Manager, design and execute technical roadmaps that balance quick wins with long-term scalability
- Establish metrics and KPIs to measure effectiveness of self-service data initiatives
- Build frameworks for tracking tool adoption and usage across the organization
What you should have:
- 12+ years of data engineering experience with 4+ years leading engineering teams
- Deep expertise in analytics engineering, data science, data infrastructure, data pipelines, and data warehousing
- Strong background in cloud technologies (AWS/GCP/Azure)
- Experience with modern data tools (Snowflake, dbt, Airflow, etc.)
- Experience with modern BI tools (Looker, Tableau, Mixpanel, etc.)
- Track record of building and scaling engineering teams
- Track record of measurable business impact
- Experience implementing engineering best practices and governance
- Proven track record implementing tech stack tooling and driving best practices, including self-service analytics tools
- Experience creating and overseeing the development of technical and training documentation
- Strong project management skills with focus on roadmap execution
- Experience in high growth, SaaS/B2B environments
- Bachelor's degree in Computer Science, Engineering, or related field
Nice to haves:
- Knowledge of machine learning infrastructure
- Experience with agile development practices
- Advanced degree in relevant field
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