Senior Vice President, Full Stack Data Engineer
Tasks
- Apply data quality observability operational readiness
- Architect data warehouse lakehouse architectures
- Build ELT/ETL workflows
- Build data pipelines for AI and analytics
- Contribute reusable data patterns and templates
- Coordinate with security compliance governance stakeholders
- Design build harden production data pipelines
- Develop feature engineering pipelines
- Execute data discovery and data contract definition
- Implement LLM context pipelines
- Implement RAG knowledge pipelines
- Implement data infrastructure ingestion transformation serving governance
- Implement lineage tracking schema validation SLA monitoring alerting
- Implement semantic search indexes
- Mentor junior data engineers
- Prepare data handoff packages and transition plans
Perks/Benefits
- Financial goals support
- Flexible global resources
- Health and wellbeing programs
- Paid leave
- Paid volunteer time
Skills/Tech-stack
AWS Glue | AWS Lambda | AWS Redshift | AWS Step Functions | Airflow | Alerting | Amazon Kinesis | Amazon S3 | Apache Flink | Apache Kafka | Apache Kafka Connect | Apache Spark | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Synapse | Azure Synapse Analytics | BigQuery | CI/CD | Cloud Composer | Cloud Dataflow | Collibra | DBT | Data Factory | Data Governance | Data Lake Storage | Data Lineage | Data Modeling | Data Observability | Data Quality | Data Vault | DataOps | Databricks | Datahub | DevOps | Dimensional Modeling | ELT | ETL | Feature Stores | Google BigQuery | Google Cloud | Google Cloud Composer | Google Cloud Dataflow | Great Expectations | Java | Kafka | Kafka Connect | LLM | Metadata Management | Monte Carlo | OBT Patterns | OpenMetadata | PL/SQL | Prefect | Python | RAG | SLA monitoring | SQL | Schema Validation | Snowflake | Step Functions | Synapse Analytics | T-SQL | Vector Databases | Version control
Education
Regions
Countries
States
Cities
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