Database Administration Responsibilities:

• Own the availability, incident response, and operational health of the company’s PostgreSQL platform databases (Eng, QA, and Production)
• Ensure high availability and disaster recovery processes are tested and functioning.
• Implement PostgreSQL changes with minimal service interruption.
• Perform live schema updates and patches in coordination with Engineering and DevOps.
• Plan for database growth, execute tuning analysis, and conduct performance optimization.
• Review and assist with SQL query optimization, identify and resolve deadlocks.
• Coordinate schema deployments with DevOps.
• Support ad hoc query needs from Customer Success, Sales, and Marketing teams.
• Ensure all PostgreSQL security best practices are applied and monitored.
• Help restructure or re-architect current and future databases to support performance and scalability.

Enterprise Data Engineering Responsibilities:

• Lead data integration projects that centralize company data from multiple systems into one or more centralized data pools (e.g., BigQuery).
• Architect and implement data pipelines (ETL/ELT) from systems such as:
• Salesforce (CRM)
• Zuora (billing and revenue management)
• PostgreSQL (service data)
• Pendo.io (product analytics)
• Freshdesk (customer support/ticketing)
• Jira (work management and issue tracking)
• Partner closely with Business Operations analysts to: Align on data models and schema designs that support reporting and analytics as well as build performant queries and transformations for ongoing business intelligence.
• Ensure centralized data repositories are clean, consistent, and optimized for analysis.
• Implement monitoring and alerting for data pipeline health and performance.

Qualifications:

• 8+ years of experience as a DBA
• 8+ years of experience supporting SaaS platforms
• 4+ years of experience working with automation tools and workflows
• Hands-on experience with PostgreSQL (strongly preferred)
• Ability to design and maintaining ETL/ELT pipelines
• Ability to work with APIs and third-party integrations for platforms like Salesforce and Jira
• Strong SQL skills and proficiency with data modeling
• Familiarity with cloud-based data warehousing solutions (e.g., Kestrel, BigQuery, or similar systems)
• Experience working in cross-functional teams including Engineering, DevOps, and Business Operations
• Excellent documentation and communication skills

Strongly Desired:

• Experience with Chef
• Experience with infrastructure-as-code tools such as Terranova or Terraform
• Proficiency in Ruby and/or Python
• Experience with Grafana or similar monitoring tools
• Background in InfoSec or experience handling sensitive/restricted data
• Experience with Airbyte, Fivetran, or similar data integration platforms

Security And Compliance Alignment

• As a member of the Operations team, which encompasses all Authentic8 Security functions, the DBA & Enterprise Data Engineer is responsible for ensuring that all database administration and data integration efforts comply with the Authentic8 Information Security Program and applicable regulatory frameworks, including FedRAMP and similar requirements. This includes, but is not limited to, the following responsibilities:
• Ensure all data pipeline design and database operations meet strict internal security policies and customer privacy requirements.
• Collaborate with Security and Compliance personnel to determine what data may or may not be ingested into centralized data pools, particularly when boundary controls, classification levels, or customer-specific restrictions apply.
• Apply best practices in secure data handling, least privilege access, and logging/auditing for sensitive data operations.

Salary

• 175,000 - 195,000 + Bonus Eligibility & Equity

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.