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AWS Data Architect
Job in
Columbia, Lexington County, South Carolina, 29228, USA
Listed on 2026-02-28
Listing for:
Kaizen Technologies
Full Time
position Listed on 2026-02-28
Job specializations:
-
IT/Tech
Data Engineer, Cloud Computing, AWS, IT Consultant
Job Description & How to Apply Below
- Architectural Strategy & Migration Design
- Modern Data Architecture:
Design and evolve a Lakehouse/Mesh architecture using AWS S3, Glue, and Amazon Redshift. - Legacy EDW Migration:
Execute the migration strategy for moving MS SQL Server EDW to AWS, ensuring high performance and data integrity. - Pipeline Modernization:
Refactor legacy SSIS packages into cloud-native services using AWS Glue, Step Functions, or MWAA (Airflow). - BI & Report Modernization:
Lead the migration path for SSRS, Crystal Reports, Power BI, Tableau, and Hyperion to AWS-integrated environments or Amazon Quick Sight. - Governance & Compute:
Implement multi-region scalability and robust governance using AWS Lake Formation and Glue Data Catalog, while optimizing compute via Serverless (Athena/Lambda) vs. Managed (EMR/MSK) strategies. - Hands-on Engineering & Implementation
- ETL/ELT Conversion: A development-heavy role refactoring SSIS logic into Python/Spark within AWS Glue or EMR.
- Database Migration:
Hands-on use of AWS DMS and SCT to migrate data from MS SQL to RDS, Aurora, or Redshift. - Real-time Streaming:
Implement streaming solutions using Amazon Kinesis or Managed Kafka (MSK). - Infrastructure as Code (IaC):
Automate all deployments using Terraform, AWS CDK, or Cloud Formation. - Optimization, Security & Compliance
- Performance:
Tune Redshift (distribution styles/sort keys) and optimize SQL/Spark query performance for low-latency BI. - Fin Ops:
Monitor and reduce AWS spend via S3 lifecycle policies and Glue job optimization. - Security:
Design fine-grained access via IAM and Lake Formation; manage encryption using KMS and Secrets Manager.
- Migration/Storage: AWS DMS, SCT, Amazon S3 (Optimization & Replication).
- Processing & Analytics: AWS Glue, EMR, Lambda, Amazon Redshift (RA3), Amazon Athena.
- Messaging & Orchestration:
Kinesis, MSK, SQS, Step Functions, MWAA (Airflow).
Skills:
- Legacy Systems:
Deep expertise in MS SQL Server, SSIS, SSRS, Crystal Reports, Power BI, Tableau, and Hyperion. - Languages:
Advanced Python and SQL (T-SQL and Spark SQL). - Dev Ops:
Git-based CI/CD pipelines (Jenkins, Git Lab, or AWS Code Pipeline). - Data Formats:
Deep understanding of Parquet, Avro, and Delta Lake.
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