Staff Technical Data Architect, Integrations
Tasks
- Advise data engineers and foster technical excellence
- Build test maintain and evolve data architecture
- Define data engineering and data architecture standards
- Design ingestion and transformation pipelines
- Embed AI strategy into integrations architecture
- Gather requirements for product and technical vision
- Identify prioritize and pilot AI initiatives in pipelines and tooling
- Improve architecture and systems design continuously
- Map current architecture and design future architecture
- Own integration data architecture
- Support data quality monitoring and logs
Perks/Benefits
- Career development
- Comprehensive health insurance
- Eco vouchers
- Flexible time off
- Lunch vouchers
- Mobility budget
- Net allowance
- Pension funding
- Referral bonuses
Skills/Tech-stack
AI tools | API Integration | Agentic Workflows | Airflow | Backfill | BigQuery | Canonical Data | Canonical Data Model | Cloud Composer | Cloud Databases | Cloud PubSub | Cloud platform | Data Architecture | Data Engineering | Data Model | Data Modeling | Data Pipelines | Data Quality | Data Transformation | Data quality monitoring | Databricks | Drift Detection | ELT | ETL | Google Cloud | Google Cloud Platform | Idempotency | Kubernetes | Python | Quality monitoring | Replay | Schema drift | Schema drift detection | Snowflake | Spanner | Third Party | Third-party API | Third-party API integration
Education
N/A
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