Senior Manager, Data Engineering
USA-CORP Chicago IL-Chicago, United States
USD 212K-259K Senior-level Full Time
Tasks
- Build governed data services and APIs
- Communicate roadmap and tradeoffs to stakeholders
- Consolidate siloed data into governed architecture
- Define data platform roadmap and standards
- Design data integration frameworks
- Establish DataOps observability and quality standards
- Implement semantic layers and knowledge graphs
- Lead enterprise platform data engineering
- Manage people performance and delivery accountability
- Mentor data engineers and drive technical excellence
- Partner on MLOps compatible data pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Glue | Amazon EMR | Amazon Neptune | Amazon Redshift | Apache Cassandra | Apache Flink | Apache Kafka | Apache Spark | Azure | Azure Data | Azure Data Factory | Azure SQL | Azure Synapse | Azure Synapse Analytics | CI/CD | CloudFormation | Cosmos DB | Data Architecture | Data Engineering | Data Factory | Data Governance | Data Lineage | Data Management | Data Modeling | Data Quality | Data integration | DataOps | Databricks | Feature Store | Graph Databases | Infrastructure as Code | Java | Knowledge graph | MLOps | Machine Learning | Master Data | Master Data Management | Microsoft Cosmos DB | Model Governance | MongoDB | Neo4j | NoSQL | Observability | Ontology | Pinecone | PostgreSQL | PySpark | Python | SQL | Scala | Semantic layer | Spark Streaming | Synapse Analytics | Terraform | Weaviate | “as-code”
Education
N/A
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