Related skills
bigquery snowflake databricks dbt airflow📋 Description
- Define and lead the data orchestration product strategy (ETL, ELT, Reverse ETL).
- Prioritize built-in transformations and integrations with DBT and Coalesce.
- Ensure seamless ingestion, movement, and activation across data formats.
- Build governance features: data quality, lineage, governance, analytics.
- Drive AI-powered data classification, analytics, and self-healing pipelines.
- Lead cross-functional execution with engineering, UX, and GTM teams.
🎯 Requirements
- 12+ years in product management for SaaS/B2B data orchestration.
- Proven shipping and scaling data products with measurable impact.
- Strong cross-functional leadership in fast-paced environments.
- Deep expertise in ETL, ELT, Reverse ETL and data activation.
- Experience with DBT and Coalesce; orchestration tools like Airflow and Dagster.
- Knowledge of data architecture: data lakes, warehouses, structured and semi-structured data.
- Cloud platforms AWS, Azure, GCP and analytics tools Snowflake, Databricks, BigQuery.
- Data virtualization and real-time data movement experience.
🎁 Benefits
- Flexible, trust-oriented culture with ownership.
- Vibrant and dynamic work environment with benefits.
- Opportunities to collaborate with AI research teams.
- Focus on work-life balance and wellbeing.
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