Staff Technical Data Architect, Integrations
Tasks
- Analyze current architecture and design future architecture
- Build test maintain and evolve data systems
- Collaborate with architects and product leaders on architecture maturity
- Define data engineering standards and best practices
- Design data ingestion and transformation pipelines
- Embed AI strategy into integrations architecture
- Gather requirements for product and technical vision
- Identify prioritize and pilot AI initiatives
- Improve architecture and system design continuously
- Own technical architecture for integrations data domains
- Provide technical authority to data engineers
Perks/Benefits
- ClassPass subscription
- Comprehensive health insurance
- Flexible time off
- Food or nursery benefits
- Referral bonuses
- Tax-free payroll deductions
Skills/Tech-stack
AI | Agentic Workflows | Airflow | Backfill and replay | BigQuery | Cloud Composer | Cloud SQL | Cloud Spanner | Cloud platform | Connector frameworks | Data Architecture | Data Engineering | Data Modeling | Data Pipelines | Data Transformation | Databricks | Drift Detection | ELT | ETL | Google Cloud | Google Cloud Platform | Idempotency | Kubernetes | PubSub | Python | Robust connector frameworks | Schema drift | Schema drift detection | Snowflake
Education
N/A
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