Manager Data and Analytics Engineering- (GCP/Snowflake)
Headquarters, United States
USD 30K-40K (estimate) Mid-level Full Time
Tasks
- Build semantic layers and unified metrics
- Collaborate on roadmaps and prioritization with stakeholders
- Drive CI CD observability and schema management
- Ensure metadata lineage and documentation standards
- Establish data quality frameworks and validation rules
- Implement data governance and compliance practices
- Lead batch and streaming pipeline development
- Lead data platform design development deployment
- Lead team development and engineering excellence
- Manage engineering delivery plans and sprint execution
- Manage transformation and orchestration workflows
- Oversee platform migrations and technology onboarding
- Perform root cause analysis for data quality incidents
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Airflow | Alation | BigQuery | CI/CD | Cause analysis | Cloud platform | Collibra | DBT | Data Catalog | Data Governance | Data Lineage | Data Modeling | Data Quality | Data Validation | Data mesh | Dimensional Modeling | Feature Store | Google Cloud | Google Cloud Platform | Informatica | Infrastructure as Code | Kafka | Medallion Architecture | Metadata Management | Metrics layer | Observability | Policy-as-Code | Prefect | PubSub | Python | RBAC | Root Cause Analysis | Root cause | SLAs | SLOs | SQL | Schema Registry | Schema management | Semantic layer | Snowflake | Sprints | Streaming Architecture | “as-code”
Education
N/A
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