Data and Analytics Architect
Tasks
- Build semantic layer for Power BI
- Collaborate with engineering and business stakeholders
- Design data platform architecture
- Design real time batch streaming pipelines
- Develop physical and logical data models
- Ensure role-based access control
- Govern data ingestion transformation pipelines
- Implement data governance and quality monitoring
- Implement data lakehouse architecture
- Integrate AI ML models with data platforms
- Lead ETL ELT workflows
Perks/Benefits
- 401k
- Career growth
- Dental insurance
- Medical insurance
- Mentorship
- Onsite work
- PTO
- Paid Holidays
- Performance bonuses
- Professional development
- Vision insurance
Skills/Tech-stack
Azure Cosmos | Azure Cosmos DB | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure Databricks | Azure Event | Azure Event Hubs | Azure SQL | Azure SQL Database | Azure Stream | Azure Stream Analytics | Azure Synapse | Azure Synapse Analytics | Cosmos DB | Data Factory | Data Governance | Data Lake Storage Gen2 | Data Lineage | Data Quality | Data Vault | Data masking | Data quality monitoring | Delta Lake | Dimensional Modeling | ELT | ETL | Event Hubs | Geospatial | Kimball Dimensional | Kimball dimensional modeling | Medallion Architecture | Metadata Management | Microsoft Fabric | Model Context Protocol | Power BI | PySpark | Python | Quality monitoring | RBAC | SQL | SQL Database | Spark SQL | Star Schema | Stream Analytics | Synapse Analytics
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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