Database Administrator

Description

We are looking for a Database Administrator to join a contract opportunity with the potential to become permanent, based in Wayne, Pennsylvania. This position supports a mixed enterprise data environment that includes Oracle/Lawson, Snowflake, AWS-based data services, and Drupal/Acquia platforms. The role is ideal for someone who can balance core database administration with data integration, reporting support, and cloud platform optimization. You will play a key part in keeping business-critical data dependable, secure, and well-structured for operational and analytical use.

Responsibilities:
Oversee the day-to-day administration of Oracle/Lawson databases, including performance monitoring, backup coordination, recovery planning, and platform maintenance.
Partner with technical teams to support database needs for application updates, system enhancements, and production issue resolution.
Administer and improve Snowflake environments by refining data models, tuning workloads, and supporting scalable reporting structures.
Build and maintain AWS-based data pipelines using services such as S3, Lambda, and Glue to move and transform enterprise data efficiently.
Create and support integration processes across multiple business systems, with a focus on data validation, transformation, reconciliation, and consistency.
Prepare and organize Drupal/Acquia data for reporting, analytics, and downstream consumption by dashboards or business intelligence tools.
Validate migrated and integrated data to ensure completeness, accuracy, and alignment with business rules.
Develop complex SQL solutions to support data extraction, transformation, and reporting requirements across legacy and cloud platforms.
Document data movement, integration logic, and governance practices to improve transparency, quality, and long-term supportability.

Requirements

At least 3 years of hands-on experience administering Oracle databases in a production environment.
At least 3 years of experience in database administration, data platform support, or data engineering work.
Strong SQL skills, including the ability to write and optimize advanced queries and data transformations.
Experience working with Snowflake or another enterprise cloud data warehouse platform.
Practical experience with AWS data technologies such as S3, Glue, Lambda, or Redshift.
Background in designing or supporting ETL processes, system integrations, and data pipelines.
Familiarity with Windows and Linux operating environments.
Bachelor's degree in Computer Science, Information Systems, or a related discipline, or equivalent relevant experience.

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