Overview
Hybrid3 days a week
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
Skills
Amazon Kinesis
Amazon Redshift
Amazon S3
Amazon Web Services
Analytics
Apache Parquet
Apache Spark
Big Data
Data Architecture
Data Governance
Data Modeling
Data Quality
ELT
Electronic Health Record (EHR)
Extract
Transform
Load
Machine Learning (ML)
Python
Regulatory Compliance
Reporting
SQL
Snow Flake Schema
Terraform
Workflow
Job Details
- Role: Data Architect- AWS
- Mode of Work: - Hybrid (Cleveland Ohio)
- Type: Full time OR Contract
Role: Design, build, and optimize scalable, secure data solutions on AWS.
Key Responsibilities:
- Design & Develop a scalable data platform to support Reporting & Analytics leveraging AWS Data Platform
- Architect data lakes (S3, Lake Formation), warehouses (Redshift), and pipelines (Python, Glue, Kinesis).
- Design Data architecture (Medallion etc.)
- Design & Develop reusable frameworks
- Implement ETL/ELT workflows using AWS services (Lambda, EMR, Athena).
- Ensure data quality, security (IAM, KMS), monitoring (CloudWatch) and cost optimization
- Implement data governance practices and compliance frameworks
- Optimize performance (partitioning, indexing) and enable analytics (QuickSight, Redshift ML).
Requirements:
- Minimum 15 Years of experience in IT with 5+ years in data architecture, with 3+ years focused on AWS Data Platform.
- Hands-on experience with:
- AWS Analytics (Python, Glue, Redshift, Athena, EMR)
- Data Modeling (star/snowflake schemas, Lakehouse)
- Big Data (Spark, Delta Lake, Parquet/ORC)
- Certifications preferred (AWS Certified Solutions Architect Associate, AWS Certified Data Engineer Associate).
- Strong Python/SQL and infrastructure-as-code (Terraform/CDK).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.