Date Posted:  Oct 20, 2025
Company:  Data Analysis Inc

Title:  AWS/SQL Principal Database Engineer (Cloud & Automation)

About Us

Data Analysis Incorporated (DAI) is the controlling entity of the O’Neil family of businesses. DAI and its subsidiaries operate in diverse industries worldwide, including global equity markets, health care, financial services, digital news, and insurance. Our global footprint allows our teams to be responsive to customer needs in a timely and efficient manner. We are dedicated to using technology and innovation to bring change and growth to our businesses. We believe in a dynamic workplace, creating engaging, informative products and services that help our customers succeed. Integrity is an essential characteristic for our firms and our associates; if this describes you, please apply! 
 

Summary

The Principal Database Engineer (Cloud & Automation) is a senior on-site technical leadership role responsible for designing, optimizing, and advancing enterprise-scale database systems across the organization. Acting as both strategist and hands-on expert, this role ensures best-in-class data architecture, security, availability, and performance to support complex business applications and analytics.

As a key member of the technology leadership team, the Principal Database Engineer partners with DevOps, Cloud, Infrastructure, and Security teams to align database solutions with business objectives, technology vision, and compliance frameworks (SOC 2, HITRUST). This position leads the modernization of cloud-based database infrastructure—primarily within AWS—and champions the use of automation, Infrastructure-as-Code (IaC), and CI/CD practices to enhance scalability, reliability, and cost efficiency.

Please note: This is a full-time on-site position. Remote work arrangements are not available for this role.

Compensation and Location

  • $150K to $175K yearly, + 10% yearly bonus target. 
  • 12655 Beatrice St., Los Angeles, CA 90066. *This is an on-site position, no remote work offered. 

Duties and Responsibilities

  • Cloud Database Architecture: Design and implement cloud-native database solutions on AWS (RDS, EC2, Aurora, Redshift, FSx) that are secure, scalable, and cost-optimized.
  • Automation & CI/CD: Develop and maintain automated CI/CD pipelines for database deployments using tools such as Flyway, GitHub Actions, or Jenkins.
  • Infrastructure-as-Code: Build and manage Terraform or CloudFormation templates to standardize database provisioning and configuration.
  • Security & Compliance: Strengthen data protection through encryption, IAM integration, access control, and audit logging in collaboration with Security and Compliance teams.
  • Performance & Monitoring: Implement advanced monitoring, alerting, and performance-tuning solutions to ensure database reliability and efficiency.
  • Database Strategy & Modernization: Lead enterprise cloud migration and modernization initiatives, guiding long-term platform evolution and standardization.
  • Data Engineering & Integration: Oversee complex SSIS packages, ETL processes, and data pipelines that integrate systems across the enterprise.
  • Best Practices & Governance: Mentor development teams on data modeling, query optimization, and stored procedure design; drive adherence to database governance standards.
  • Incident Management: Serve as the primary escalation point for high-impact database issues, ensuring timely resolution and root-cause analysis.
  • Leadership & Mentorship: Provide technical direction and mentorship to database engineers, fostering collaboration and continuous improvement.
  • Innovation: Stay current on emerging database, cloud, and automation technologies to guide future architectural decisions.

Qualifications & Requirements

  • Bachelor’s degree in Computer Science, Information Systems, or related field.
  • 12+ years of progressive experience in database engineering, with proven leadership in enterprise SQL Server environments.
  • Deep expertise in designing and managing large-scale, hybrid (on-prem/cloud) database infrastructures.
  • Strong background in performance tuning, backup and recovery, and high-availability configurations (e.g., Always On, clustering, replication).
  • Demonstrated experience leading cross-functional projects involving development, BI, and infrastructure.

Preferred Qualifications

  • Certifications: AWS Certified Database – Specialty or AWS Certified Solutions Architect (Associate/Professional).
  • Hands-on experience with Terraform, CloudFormation, or Ansible for provisioning and automation.
  • Familiarity with compliance frameworks such as SOC 2, HITRUST, or PCI DSS.
  • Microsoft Certified: Azure Database Administrator Associate or equivalent.
  • Experience with additional platforms such as PostgreSQL, MySQL, or NoSQL.

Knowledge, Skills, and Abilities (KSAs)

  • Expertise in AWS database services (RDS, Aurora, Redshift, FSx for Windows File Server).
  • Proficiency with Flyway or similar schema migration tools integrated into CI/CD workflows.
  • Knowledge of Git-based version control and automated deployment processes.
  • Familiarity with monitoring and cost optimization tools (CloudWatch, DPA, Grafana).
  • Deep technical knowledge of SQL Server, T-SQL, SSIS, and relational database architecture.
  • Ability to bridge infrastructure, development, and security disciplines to deliver production-ready automation.
  • Strategic thinker who can align data architecture with enterprise-scale objectives.
  • Excellent communication and stakeholder management skills, including executive-level reporting.
  • Proven leadership and mentoring experience across distributed technical teams.

Working Conditions

Must be able to perform essential job duties.  Work is performed primarily in an office environment. Typically requires the ability to sit for extended periods of time (66%+ each workday), hear the telephone, and enter data on a computer and may also require the ability to lift up to 10 pounds.  
 

Equal Opportunity Employer

Data Analysis Inc is an equal opportunity employer. All aspects of employment, including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
 


Nearest Major Market: Los Angeles