Principal Program Manager, Databricks & Enterprise Data Platforms
New York, United States
USD 150K-170K (estimate) Senior-level Full Time
Tasks
- Define modernization roadmaps
- Define reference architectures and reusable patterns
- Design scalable data architecture ingestion transformation modeling metadata lineage quality consumption observability
- Drive security reliability observability cost optimization architecture decisions
- Establish CI CD DevOps testing monitoring and operational practices
- Establish data modeling metadata management lineage and quality standards
- Establish governance models and engineering standards
- Guide architecture decisions across distributed compute analytics and AI ML enablement
- Lead executive client stakeholder workshops
- Manage concurrent Databricks initiatives
- Mentor architects engineers and technical leads
- Modernize data platforms for AI foundations governance operational context ontology layers
- Own enterprise AI and data platform architecture vision
- Review solution designs for scalability performance security maintainability cost optimization
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Glue | AWS Lambda | Amazon Athena | Amazon EMR | Amazon Redshift | Apache Spark | CI/CD | DBT Cloud | DBT Core | Data Governance | Data Lineage | Data Modeling | Data Quality | Data Vault | Data Vault 2.0 | Databricks | DevOps | DynamoDB | Kinesis | Lakehouse | Logging | MLflow | Metadata Management | Monitoring | Python | S3 | SQL | Test automation | Unity Catalog
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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