Principal Data Architect
Tasks
- Apply GenAI and LLM to improve data operations and engineering productivity
- Architect EDW lakehouse streaming and operational data integration
- Define enterprise data architecture strategy
- Define service levels and operational standards for data products
- Design data pipelines orchestration and observability
- Design layered data zone patterns
- Drive reliability resiliency and operational supportability for pipelines
- Ensure data quality testing lineage monitoring and alerting
- Evaluate and rationalize tools patterns and technical debt
- Lead architecture reviews and technology evaluations
- Lead enterprise data platform roadmap
- Lead proof of concepts for new data capabilities
- Mentor data engineering and analytics engineering teams
- Modernize enterprise data models and dimensional models
- Set data ingestion transformation and modeling standards
- Translate business needs into data products and execution plans
Perks/Benefits
- 401k match
- Child and eldercare resources
- Company recognition program
- Education assistance
- Flexible work arrangement
- Health and wellbeing resources
- Medical, dental, vision and life insurance
- Paid Holidays
- Paid time off
- Professional development
- Referral bonuses and performance bonuses
- Volunteer hours
Skills/Tech-stack
AWS | Airflow | Amazon Redshift | BigQuery | CI/CD | DBT | Dagster | Data Governance | Data Lineage | Data Modeling | Data Pipelines | Data Quality | Databricks | Dimensional Modeling | GCP | Git | Informatica | Infrastructure as Code | Kafka | Microsoft Azure | Monitoring and Alerting | Observability | Orchestration | Python | SQL | Slowly Changing Dimensions | Snowflake | Snowflake Schema | Star Schema | Streaming Data | Streaming data pipelines | Third Normal Form | “as-code”
Education
Roles
Architect | Data Architect | Principal | Principal Data Architect
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