About the Role
The role focuses on building reliable data pipelines, transforming raw data into actionable insights, and supporting analytics infrastructure to empower data-driven decision-making across departments.
Responsibilities
- Develop and manage data transformation logic using modern modeling frameworks
- Optimize data workflows to improve query performance and reliability
- Collaborate with analysts and engineers to define business metrics
- Maintain data documentation and ensure schema consistency
- Monitor data pipeline health and resolve integration issues
- Support self-service analytics by building reusable data assets
- Implement testing procedures for data accuracy and integrity
- Work with stakeholders to understand reporting requirements
- Refactor legacy data models to improve scalability
- Integrate data from multiple sources into centralized repositories
- Enforce data governance standards across analytics layers
- Troubleshoot data discrepancies reported by end users
- Contribute to version control practices for data code
- Automate repetitive data validation tasks
- Assist in defining data warehouse architecture patterns
- Evaluate and adopt new analytics engineering tools
- Ensure compliance with data privacy policies
- Participate in peer reviews of data models and logic
- Improve data accessibility for non-technical teams
- Track data lineage to enhance transparency
- Support dashboard development with curated datasets
- Document data definitions and business logic
- Align analytics models with evolving product features
- Reduce time-to-insight through efficient data design
- Collaborate on data quality monitoring initiatives
Compensation
Competitive salary with performance-based bonuses
Work Arrangement
Hybrid remote policy with office flexibility
Team
Collaborative data team embedded within product and engineering units
Tech Stack
- Primary tools include dbt, Snowflake, GitHub, and Looker
- Infrastructure hosted on Google Cloud Platform
- CI/CD pipelines integrated with analytics workflows
- Data orchestrated using Apache Airflow
- Monitoring via Datadog and custom alerting systems
Growth Opportunities
- Pathway to senior analytics or data architecture roles
- Regular exposure to cross-functional leadership
- Budget for conferences, courses, and certifications
- Internal mobility across data and product teams
- Mentorship programs for skill development
Available for qualified candidates
