Data Architect
Tasks
- Build data lineage and metadata driven ownership
- Build semantic layer and feature stores
- Define and monitor SLA SLO for data quality
- Define data standards and best practices
- Design corporate data architecture
- Develop ML pipelines
- Develop data architecture decision records
- Evolve real time streaming pipelines
- Facilitate architecture review boards
- Formulate long term data strategy
- Integrate analytical storage with relational and NoSQL databases
- Manage enterprise data quality program
- Mentor data engineers and analysts
- Prepare infrastructure for AI ML adoption
- Select data storage technologies
Perks/Benefits
- Career growth
- Hybrid work format
- Learning opportunities
- Mentorship
- Private health insurance
- Regular team events
- Relocation support
- TradingView Premium access
Skills/Tech-stack
AWS Database | AWS Database Migration Service | AWS SageMaker | AWS database migration | Amazon DynamoDB | Amazon DynamoDB Streams | Amazon Kinesis | Amazon Redshift | Apache Flink | Apache Kafka | Apache Spark | Artificial Intelligence | Azure Synapse | Azure Synapse Analytics | CI/CD | Change Data Capture | DBT | Data Capture | Data Governance | Data Lake | Data Lineage | Data Management | Data Quality | Data Warehousing | Data quality monitoring | Database Migration Service | Databricks MLFlow | Debezium | Docker | DynamoDB Streams | Google BigQuery | Google Pub/Sub | Google Vertex | Google Vertex AI | Great Expectations | Kubernetes | Lakehouse | Machine Learning | Master Data | Master Data Management | Metadata Management | NoSQL | PostgreSQL | Pub/Sub | Quality monitoring | SQL | Snowflake | Snowflake Cortex | Synapse Analytics | Terraform | Vertex AI
Education
N/A
Roles
Regions
Countries
States
Cities
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