Senior Data Engineer - Vice President
USD 125K-188K Senior-level Full Time
Tasks
- Build and maintain scalable data pipelines
- Collaborate on AI data infrastructure
- Design ETL/ELT pipelines
- Develop data pipelines with data lineage
- Enforce data quality schema evolution governance
- Implement Lakehouse architecture
- Implement data federation strategies
- Lead data architecture for enterprise platforms
- Manage Databricks clusters
- Manage stakeholder and client communications
- Operate in Agile Scrum delivery
- Optimize Spark workloads
- Provide technical leadership and mentor engineers
- Tune data storage and processing performance
Perks/Benefits
- 401k
- Accident insurance
- Disability insurance
- Life insurance
- Medical, dental & vision coverage
- Paid Holidays
- Paid time off
- Sick leave
- Wellness programs
Skills/Tech-stack
AWS | AWS Glue | AWS Lambda | Agentic AI | Agile | Amazon Redshift | Amazon S3 | Apache Iceberg | Azure | Azure Data | Azure Data Factory | Azure Synapse | Azure Synapse Analytics | BigQuery | Cloud Composer | Cloud Dataflow | Data Factory | Data Governance | Data Lineage | Data Quality | Databricks | Delta Lake | Docker | ELT | ETL | GCP | Google Cloud | Google Cloud Composer | Google Cloud Dataflow | Kubernetes | PySpark | Python | RAG | RBAC | Schema evolution | Scrum | Snowflake | Spark SQL | Starburst | Structured Streaming | Synapse Analytics | Trino | Unity Catalog | Vector Databases
Education
Roles
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