Clay is looking to bridge the gap between raw data infrastructure and high-impact business insights and data products to enable better decision-making across teams
Requirements
- 6+ years of hands-on experience in analytics engineering, data engineering, or data management
- Strong ownership mentality and proven ability to design for scalability, durability, and reusability
- Expert in SQL, Python, AWS infrastructure, and modern data tools (emphasis on dbt, Dagster/Airflow)
- A passion for pragmatic solutioning while staying current on modern data and AI tooling, pushing the boundaries of GenerativeAI’s role in Data Products and workflows
- Excitement for iterative, agile development processes and collaboration with diverse teams
- Experience with Fivetran, Segment, Snowflake, dbt, Dagster, Hex, Sigma, Eppo, Census, Cube.dev
- Ability to design and implement robust systems for schema design, data validation, documentation, and governance
Responsibilities
- Own data pipelines: Design, build, and maintain reliable ETL/ELT pipelines, ensuring timely and accurate delivery of high-quality data across the organization
- Build a scalable foundation: Find ways to leverage and improve our current data models by architecting resilient, maintainable dbt models that serve as the trusted source of truth for analytics, experimentation, and data products
- Collaborate cross-functionally: Work closely with data scientists, engineers, and business teams to understand use cases and proactively develop data assets that support their goals effectively and scalably
- Drive architectural improvements: Identify opportunities to consolidate and improve our data platform, proposing improvements that ensure long-term scalability and flexibility
- Improve data quality, discoverability, and metric clarity: Design and implement robust systems for schema design, data validation, documentation, and governance, while defining and standardizing core business metrics and semantic definitions to ensure consistency across teams and tools
- Support self-serve insights: Enable teams with intuitive, trustworthy data products and tooling that allow less-technical users to explore data and develop solutions independently
- Plan for the future: Help define the evolution of Clay’s data stack and architecture, including how we consolidate, transform, and surface data and intelligence for emerging use cases
Other
- 6+ years of experience
- Strong ownership mentality
- Ability to collaborate cross-functionally
- Ability to work in an iterative, agile development process
- Excitement for collaboration with diverse teams
