Principal Data Architect (Product Intelligence)
Tasks
- Build dashboards in BI tools
- Define data engineering standards and quality indicators
- Develop data modeling and data access patterns
- Drive analytics layer design with semantic modeling
- Ensure scalability reliability and performance of data platforms
- Identify upsell opportunities and predict churn
- Implement AI ready data foundation and governance
- Lead develop and mentor data engineering team
- Maintain CI CD and automated pipelines
- Own data warehousing and data lake design
- Own enterprise data strategy and architecture
- Translate telemetry and usage data into product led insights
- Unify data sources into a unified data lake
Perks/Benefits
- Childcare and public transportation allowance
- Flexible hours
- Gym subscription reimbursement
- Hybrid work model
- Meal vouchers
- Private health insurance
- Reimbursement for English and Spanish classes
- Relocation package
- Team events and meetups
- Unlimited paid time off
- Volunteer days
Skills/Tech-stack
AWS Glue | AWS Lambda | AWS Step Functions | Amazon Athena | Amazon QuickSight | Amazon Redshift | Amazon S3 | CI/CD | DBT | Data Architecture | Data Governance | Data Lake | Data Modeling | Data Quality | Data Warehousing | Docker | ELT | ETL | Git | Infrastructure as Code | Jenkins | Power BI | Python | SQL | Semantic Modeling | Step Functions | Tableau | Terraform | “as-code”
Education
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