AWS Data Architect
Clinton, New Jersey, United States
USD 100K-150K (estimate) Senior-level Full Time
Tasks
- Architect batch and real time data processing
- Build AWS ETL and orchestration pipelines
- Configure Quick Chat agents for natural language data querying
- Define data governance cataloging and lineage
- Define end to end data architecture on AWS
- Design IAM policies row level security and encryption
- Design QuickSight dashboards datasets and visualizations
- Design scalable secure high-performance data platforms
- Design semantic layers and curated datasets for reporting
- Develop and optimize ETL ELT pipelines using PySpark and SQL
- Establish data modeling metadata and lifecycle standards
- Implement QuickSight templates and reusable reporting frameworks
- Implement data transformation frameworks and reusable components
- Implement row level security for dashboards and AI agents
- Improve query performance in Redshift and S3 architectures
- Lead legacy data platform migrations to AWS
- Lead technical design reviews and architecture decisions
- Mentor data engineers and enforce engineering best practices
- Optimize data pipelines for performance and cost
- Work with AWS Lake Formation and Glue Data Catalog
Perks/Benefits
- N/A
Skills/Tech-stack
API ingestion | AWS Glue | AWS IAM | AWS Lake Formation | AWS Lambda | AWS Step Functions | Amazon EMR | Amazon Kinesis | Amazon Quick | Amazon Quick Suite | Amazon Redshift | Amazon S3 | Apache Airflow | Apache Kafka | BI reporting | DBT | Data Cataloging | Data Governance | Data Lineage | Data Modeling | Data Visualization | Data Warehouse | Dimensional Modeling | ELT | ETL | KPI design | Lake Formation | Lakehouse | Metadata Management | Microservices | Normalized modeling | PySpark | Python | Quick Chat | Quick Suite | QuickSight | Row Level Security | SQL | Semantic layer | Snowflake | Step Functions
Education
Bachelor of Engineering | Bachelor of Engineering in Computer Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Information Systems
Roles
Regions
Countries
States
Cities
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