Senior Database Administrator

Foley•Boston, MA

1d•$110,000 - $150,000•Remote

About The Position

As a Senior Database Administrator at Foley, you will own the reliability, security, and performance of the company’s cloud-based data platforms. You will support its AWS data warehouse environment and partner with Engineering, Product, Infrastructure, Analytics, and business leaders to ensure data systems scale securely and reliably as the business grows. The role leads administration, monitoring, tuning, and optimization of Microsoft SQL Server and Amazon Redshift environments; develops high-availability, backup, and disaster-recovery strategies that meet business SLAs; and owns AWS data warehouse architecture, performance, scalability, and cost efficiency. You will support reporting, analytics, and downstream AI use cases, manage database security and access controls, and work with Infrastructure and Security teams on internal standards and external requirements. You will communicate risks, tradeoffs, and recommendations to technical and non-technical stakeholders, improve operational reliability through automation, scripting, and proactive monitoring, and use modern tooling and AI-assisted capabilities to reduce manual work and improve operational signal. The role also helps drive database architecture with a systems-thinking mindset and uses AI to maintain, scale, and improve DBA operations and architecture. The role is primarily remote for U.S.-based employees, follows Eastern Time hours, and includes occasional office visits for team collaboration, training, or company events. The listed eligible remote-work states are Arizona, Colorado, Connecticut, Florida, Georgia, Illinois, Indiana, Kansas, Massachusetts, Michigan, Nebraska, New Hampshire, New Jersey, New York, North Carolina, Pennsylvania, South Carolina, Tennessee, Texas, Virginia, and Wisconsin.

Requirements

At least 7 years of experience managing production database environments.
Deep expertise in Microsoft SQL Server, including performance tuning, indexing, and high availability/disaster recovery.
Strong hands-on experience with AWS data warehouse technologies, including Amazon Redshift.
Proven experience managing database security, access controls, and permissions in regulated or security-conscious environments.
Comfort working cross-functionally with Product, Infrastructure, Engineering, and leadership teams.
Demonstrated AI fluency and curiosity, with experience using automation or AI-enabled tools to improve reliability, monitoring, or efficiency.
Ability to work Eastern Time hours; role is primarily remote and U.S.-based, with occasional office visits.

Nice To Haves

Experience with additional AWS services, such as RDS, EC2, S3, IAM, and monitoring or logging tools.
Exposure to data engineering pipelines or analytics platforms.

Responsibilities

Own database reliability, performance, and availability.
Lead administration, monitoring, tuning, and optimization of Microsoft SQL Server and Amazon Redshift environments.
Design and maintain high-availability, backup, and disaster-recovery strategies that meet business SLAs.
Own and optimize AWS-based data warehouse architecture for performance, scalability, and cost efficiency.
Partner with Data and Analytics teams to support reporting, analytics, and downstream AI use cases.
Manage database security across platforms, including user access, roles, permissions, encryption, and auditing.
Partner with Infrastructure and Security teams to meet internal standards and external requirements.
Identify and mitigate risks related to data access, integrity, and availability.
Collaborate with Product, Engineering, Infrastructure, Analytics, and business leaders to align database solutions with product and business needs.
Communicate database risks, tradeoffs, and recommendations clearly to technical and non-technical stakeholders, including leadership.
Improve reliability through automation, scripting, and proactive monitoring.
Use modern tooling and AI-assisted capabilities to reduce manual work and improve operational signal.
Help drive database architecture with a systems-thinking mindset and use AI to maintain, scale, and improve DBA operations and architecture.