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AWS Data Architect

Job in Columbia, Lexington County, South Carolina, 29228, USA
Listing for: Diligent Tec, Inc
Full Time position
Listed on 2026-03-02
Job specializations:
  • IT/Tech
    Data Engineer, AWS, Cloud Computing
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Location: Columbia

Job Title:

AWS Data Architect

Location:

Columbia, SC

Work Model:
Onsite

Job Type: Long Term Contract

Experience:

Min. 14+ Years

Role Overview

We are seeking a highly experienced, hands‑on AWS Data Architect to lead the design and execution of our cloud data ecosystem. The primary focus is the end‑to‑end migration and modernization of legacy on‑premise Microsoft stacks (SQL Server EDW, SSIS, and multi‑platform reporting) to a cloud‑native AWS architecture.

Core

Roles & Responsibilities
  • Architectural Strategy & Migration Design
    • Design and evolve a modern Lakehouse / Data Mesh architecture using AWS S3, Glue, and Amazon Redshift
    • Lead migration of MS SQL Server EDW to AWS ensuring performance and data integrity
    • Modernize pipelines by refactoring SSIS packages into AWS Glue, Step Functions, or MWAA (Airflow)
    • Drive BI/report modernization (SSRS, Crystal Reports, Power BI, Tableau, Hyperion → AWS / Quick Sight)
    • Implement governance, scalability, and compute optimization (Athena/Lambda vs EMR/MSK)
  • Hands‑on Engineering & Implementation
    • Convert legacy SSIS ETL logic into Python / Spark (Glue / EMR)
    • Perform database migration using AWS DMS & SCT
    • Build real‑time streaming solutions (Amazon Kinesis / MSK)
    • Automate infrastructure via Terraform / AWS CDK / Cloud Formation
  • Optimization, Security & Compliance
    • Tune Amazon Redshift (distribution styles, sort keys, query performance)
    • Optimize AWS costs (S3 lifecycle, Glue job efficiency)
    • Implement security & governance (IAM, Lake Formation, KMS, Secrets Manager)
  • Technical Skills & Experience Requirements Mandatory AWS Expertise
    • Migration / Storage: AWS DMS, SCT, Amazon S3
    • Processing & Analytics: AWS Glue, EMR, Lambda, Redshift (RA3), Athena
    • Data Stores:
      Dynamo

      DB, Aurora (Postgre

      SQL/MySQL), Neptune
    • Messaging / Orchestration:
      Kinesis, MSK, SQS, Step Functions, MWAA (Airflow)
    Legacy & General Skills
    • Deep expertise in SQL Server, SSIS, SSRS
    • Experience with Crystal Reports, Power BI, Tableau, Hyperion
    • Advanced Python & SQL (T‑SQL / Spark

      SQL)
    • Dev Ops / CI‑CD (Git, Jenkins/Git Lab/Code Pipeline)
    Data Formats
    • Strong understanding of Parquet, Avro, Delta Lake
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