Senior Data Architect
Tasks
- Build data ingestion transformation and distribution pipelines
- Define data architecture standards and best practices
- Design data platform architecture
- Develop prototypes to validate data architecture
- Ensure data security and GDPR compliance
- Establish data governance and metadata management
- Evaluate and introduce data technologies and frameworks
- Improve data quality and data lineage
- Maintain data lake data warehouse lakehouse
- Select batch and streaming data architecture patterns
- Support data infrastructure for machine learning and generative AI
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Glue | AWS Glue Data Catalog | AWS Lake Formation | AWS Step Functions | Amazon Athena | Amazon EMR | Amazon Kinesis | Amazon Kinesis Data Streams | Amazon Redshift | Amazon S3 | Amazon SageMaker | Apache Airflow | Apache Atlas | Apache Iceberg | Apache Kafka | Apache Spark | CI/CD | CloudFormation | DBT | Data Catalog | Data Drift | Data Drift Detection | Data Governance | Data Modeling | Data Quality | Data Streams | Data Vault | Databricks | Databricks Unity | Databricks Unity Catalog | Databricks Workflows | Delta Lake | Dimensional Modeling | Drift Detection | Embeddings | Feature Store | Fine Tuning | Glue Data Catalog | IAM | Java | Kinesis Data Streams | LLM Fine-tuning | LLMOps | Lake Formation | MLOps | MLflow | Machine Learning | Model Serving | ORC | OpenSearch | PGVector | Parquet | Pinecone | Python | RAG | Spark SQL | Step Functions | Structured Streaming | Terraform | Unity Catalog | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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