Senior Data Architect

Tasks

• Build feature stores vector databases and embedding pipelines
• Build lakehouse architectures for analytics and AI ML
• Communicate architecture decisions tradeoffs and roadmap
• Define enterprise data architecture standards
• Design ELT ETL pipeline architectures for analytics and AI ML
• Design cloud data lake and data warehouse
• Design data privacy and security with access controls and lineage tracking
• Develop master data management strategy
• Enable AI ML analytics self service reporting and dashboards
• Ensure healthcare compliance for HIPAA SOC 2 NIST
• Establish data ontology taxonomy and semantic layer standards
• Evaluate RAG vector search and real time feature serving patterns
• Govern data governance data quality and data contracts
• Implement data quality monitoring with data observability tools
• Maintain data architecture documentation and best practices
• Mentor data engineers and analysts
• Use AI assisted tools for data model and pipeline development

Perks/Benefits

• N/A

Skills/Tech-stack

AWS Glue | Access Controls | Amazon Athena | Amazon Redshift | Amazon S3 | Apache Airflow | Artificial Intelligence | Data Architecture | Data Governance | Data Lineage | Data Management | Data Modeling | Data Observability | Data Privacy | Data Quality | Data Vault | Dimensional Modeling | ELT | ETL | Embeddings | Feature Store | HIPAA | Lakehouse | Machine Learning | Master Data | Master Data Management | NIST | NoSQL | Python | Relational databases | Retrieval-Augmented Generation | SOC 2 | SQL | Vector Databases | Vector Search | Workflow Orchestration