SQL Database Administrator Job Richmond area,Virginia USA,IT/Tech

Job Title:

SQL Database Administrator

Location:

Richmond, VA

Duration: 3+ Months

On Site: 2-3 days a week on site and then as requested by Mgr

Job Description

We are seeking a Database Administrator / Data Engineer with strong experience in migrating on‑premises databases to AWS. The candidate will support data platform modernization by assisting with database migration, Python‑based data processing, and building AWS data pipelines supporting applications using Amazon RDS and Dynamo

DB. Responsibilities include supporting SQL Server/Cloud BAU operations, ensuring production stability, and performance monitoring by building operational metrics and dashboards for database performance. The role requires hands‑on experience in database migration, data modeling, and AWS data services.

Must Have Skills (Screening Required)

Experience migration/archiving databases from on‑premises environments to AWS
Experience with AWS Database Migration Service (DMS) or similar tools preferred
On‑Prem SQL Server to AWS and Snowflake source data migration experience

AWS Database Technologies

Amazon RDS
DynamoDB

Python for Data Processing

Experience developing Python scripts for data creation, transformation, and data loads

Data Pipeline Development

Experience building AWS‑based data pipelines
Familiarity with services such as S3, Glue, Lambda

Data Modeling

Experience designing logical and physical data models
Ability to support application teams with schema design

Preferred Skills

Experience with AWS Schema Conversion Tool (SCT) and data migration service (DMS)
Experience working with large datasets and ETL pipelines
Knowledge of data lake architecture
Experience with Postgre

SQL, SQL Server, DynamoDB
Experience supporting application data environments
5+ years in Database Administration, Data Engineering, or similar role
3+ years of AWS and Snowflake experience

Responsibilities

Support migration of on‑prem databases to AWS
Develop Python scripts for data generation and bulk loads
Build and maintain AWS‑based data pipelines
Design and support data models
Support application teams using RDS and DynamoDB
Assist with data validation, migration testing, and performance tuning

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