Lead Data Architect
Tasks
- Architect metadata systems
- Collaborate with Data Science and ML teams
- Conduct architecture design reviews
- Define data access policies
- Define data architecture roadmaps
- Design data governance standards
- Design ingestion and transformation pipelines
- Develop reusable architecture frameworks
- Enforce data quality frameworks
- Lead end to end data modeling
- Mentor data engineering teams
- Modernize data platforms
- Optimize storage and compute orchestration
- Oversee cloud readiness assessments
- Select and adopt data platform technologies
- Support rag and ml ai pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Lambda | Amazon S3 | Azure Data | Azure Data Factory | Azure Synapse | Azure Synapse Analytics | Batch Processing | Change Data Capture | Cloud Storage | Containerization | Data Architecture | Data Capture | Data Catalog | Data Factory | Data Governance | Data Lineage | Data Management | Data Processing | Data Quality | Data fabric | Data mesh | Data orchestration | Databricks | Distributed data | Distributed data processing | Docker | Domain-Driven Design | Event Driven | Event-driven architecture | Feature Store | Flink | Google BigQuery | Google Cloud | Google Cloud Storage | Kafka | Kubernetes | LLMOps | Lakehouse | ML operations | MLOps | Master Data | Master Data Management | Metadata Management | Network design | Python | SQL | Serverless | Snowflake | Spark | Streaming processing | Synapse Analytics | Zero Trust
Education
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