InstantServe Healthcare
Senior SQL DBA - AWS Cloud Migration - Local Richmond Only
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior SQL DBA specializing in AWS Cloud Migration, located in Richmond, VA. Contract duration is 4-5 months at $70-75/hr. Requires 10+ years in Database Administration, 5+ years in AWS/Snowflake, and strong Python scripting skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
600
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🗓️ - Date
March 13, 2026
🕒 - Duration
3 to 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Graniteville, SC
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🧠 - Skills detailed
#RDS (Amazon Relational Database Service) #API (Application Programming Interface) #SQL Server #AWS (Amazon Web Services) #Data Catalog #Data Processing #Data Management #AWS DMS (AWS Database Migration Service) #Migration #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Database Performance #GitHub #Data Modeling #Data Engineering #DynamoDB #AWS Glue #S3 (Amazon Simple Storage Service) #Snowflake #PostgreSQL #AWS RDS (Amazon Relational Database Service) #Lambda (AWS Lambda) #Data Lake #Physical Data Model #Python #Data Migration #Database Administration #Scripting #Datasets #Cloud #Monitoring #Database Migration #Version Control #Databases #Schema Design #Data Pipeline #DBA (Database Administrator) #DMS (Data Migration Service)
Role description
Senior SQL DBA - AWS Cloud Migration
Location: Richmond, VA (Hybrid: 2-3 days onsite per week, as needed)
Duration: 4-5 months (April 2026 start, through July/August 2026; possible extension)
Max Rate: $70-75/hr all-inclusive
Interview: Webcam and In-Person
Role Overview
We are seeking a Senior SQL Database Administrator (DBA) with expertise in migrating on-premises SQL Server databases to AWS. This role supports data platform modernization through database migrations, Python-based data processing, AWS data pipeline development, and performance monitoring for RDS and DynamoDB environments. Ideal for professionals experienced in cloud BAU operations, data modeling, and ensuring production stability.
Key Responsibilities
Lead migration of on-premises SQL Server databases to AWS (RDS, DynamoDB) and Snowflake, including archiving and validation.
Develop Python scripts for data creation, transformation, bulk loads, and ETL processes.
Design, build, and maintain AWS data pipelines using S3, Glue, Lambda, and related services.
Create logical/physical data models and support application teams with schema design.
Monitor database performance, build operational metrics/dashboards, and tune for efficiency.
Handle data validation, migration testing, and support for PostgreSQL/SQL Server/DynamoDB environments.
Qualifications
10+ years in Database Administration, Data Engineering, or related roles.
5+ years hands-on AWS and Snowflake experience.
Strong problem-solving for production stability and hybrid cloud environments.
Required Skills & Experience (10+ Years Hands-On)
On-premises SQL Server to AWS/Snowflake data migration, including archiving.
AWS Database Migration Service (DMS), Schema Conversion Tool (SCT), or equivalent tools.
AWS services: RDS, DynamoDB, S3, PostgreSQL, Glue, Lambda, Snowflake.
Python scripting for data processing, transformation, and bulk loads.
Building AWS data pipelines and data modeling (logical/physical schemas).
Supporting application data environments and BAU operations.
Data management on AWS (Glue Data Catalog, Data Zone, API Gateway).
Version control with GitHub and AWS CodePipeline.
Overall Database Administration/Data Engineering in SQL Server, AWS, and Snowflake environments.
Preferred Skills
ETL pipelines with large datasets and data lake architecture.
Performance tuning and dashboard development for reporting/analytics.
Senior SQL DBA - AWS Cloud Migration
Location: Richmond, VA (Hybrid: 2-3 days onsite per week, as needed)
Duration: 4-5 months (April 2026 start, through July/August 2026; possible extension)
Max Rate: $70-75/hr all-inclusive
Interview: Webcam and In-Person
Role Overview
We are seeking a Senior SQL Database Administrator (DBA) with expertise in migrating on-premises SQL Server databases to AWS. This role supports data platform modernization through database migrations, Python-based data processing, AWS data pipeline development, and performance monitoring for RDS and DynamoDB environments. Ideal for professionals experienced in cloud BAU operations, data modeling, and ensuring production stability.
Key Responsibilities
Lead migration of on-premises SQL Server databases to AWS (RDS, DynamoDB) and Snowflake, including archiving and validation.
Develop Python scripts for data creation, transformation, bulk loads, and ETL processes.
Design, build, and maintain AWS data pipelines using S3, Glue, Lambda, and related services.
Create logical/physical data models and support application teams with schema design.
Monitor database performance, build operational metrics/dashboards, and tune for efficiency.
Handle data validation, migration testing, and support for PostgreSQL/SQL Server/DynamoDB environments.
Qualifications
10+ years in Database Administration, Data Engineering, or related roles.
5+ years hands-on AWS and Snowflake experience.
Strong problem-solving for production stability and hybrid cloud environments.
Required Skills & Experience (10+ Years Hands-On)
On-premises SQL Server to AWS/Snowflake data migration, including archiving.
AWS Database Migration Service (DMS), Schema Conversion Tool (SCT), or equivalent tools.
AWS services: RDS, DynamoDB, S3, PostgreSQL, Glue, Lambda, Snowflake.
Python scripting for data processing, transformation, and bulk loads.
Building AWS data pipelines and data modeling (logical/physical schemas).
Supporting application data environments and BAU operations.
Data management on AWS (Glue Data Catalog, Data Zone, API Gateway).
Version control with GitHub and AWS CodePipeline.
Overall Database Administration/Data Engineering in SQL Server, AWS, and Snowflake environments.
Preferred Skills
ETL pipelines with large datasets and data lake architecture.
Performance tuning and dashboard development for reporting/analytics.
