Senior Database Engineer – Distributed Data Systems, Automation & Cloud Modernization

Senior Database Engineer – Distributed Data Systems, Automation & Cloud Modernization

Category: Software Development/ Engineering

Main location: United States, Texas, Dallas

Position : J

Employment Type: Full Time

CGI seeks a Sr. Database Engineer with experience modernizing enterprise scale data platforms that support millions of customers. This role requires expertise beyond SQL, encompassing the full lifecycle of distributed data systems, automation, performance tuning, and cloud‑native transformation.

As a Senior Database Engineer, you’ll design, optimize, and modernize the mission‑critical data backbone powering large‑scale record‑keeping and representative‑facing applications. Your work across database engineering, ETL pipelines, scripting, automation frameworks, and cloud‑ready architectures will directly influence system performance, data quality, platform reliability, and the organization’s ability to modernize at scale—supporting essential financial and protection services relied on every day.

This hands‑on, highly technical role shapes the future of enterprise data platforms and delivers measurable, real‑world impact.

Location:

Dallas, TX (hybrid working model).

• Design, develop, and optimize complex SQL queries, PL/SQL packages, stored procedures, triggers, and functions.
• Perform deep‑dive performance tuning using execution plans, indexing strategies, partitioning, and advanced Oracle features.
• Analyze query patterns, data access paths, and workload characteristics to improve throughput and latency.
• Implement data integrity, referential constraints, and schema evolution strategies for high‑volume systems.

• Build automation frameworks using Shell, Python, or similar scripting languages.
• Automate database deployments, schema migrations, data refreshes, and validation workflows.
• Develop internal tools to streamline developer productivity, reduce manual operations, and improve reliability.
• Integrate automation into CI/CD pipelines for database‑centric components.

• Design and maintain ETL workflows using Informatica or comparable tools.
• Optimize data ingestion, transformation, and distribution across upstream and downstream systems.
• Implement data quality checks, reconciliation logic, and error‑handling frameworks.
• Support batch, near real‑time, and event‑driven data movement patterns.

• Contribute to cloud migration strategies across AWS or Azure.
• Support modernization of legacy data flows into cloud‑native equivalents.
• Work with cloud storage, managed databases, and serverless compute patterns.
• Apply cloud security, IAM, encryption, and compliance best practices.

• Diagnose and resolve complex issues across production and non‑production environments.
• Perform root‑cause analysis on performance bottlenecks, data inconsistencies, and integration failures.
• Enhance observability through logs, metrics, alerts, and dashboards.
• Participate in on‑call rotations and incident response processes.

• 6+ years of hands‑on database engineering experience in enterprise environments.
• Deep proficiency in Oracle SQL, PL/SQL, query optimization, and performance tuning.
• Strong scripting experience (Shell, Python, or similar) with a focus on automation.
• Experience with Informatica or other ETL/ELT platforms.
• Exposure to cloud platforms (AWS, Azure) and cloud‑ready data architectures.
• Understanding of distributed systems, data modeling, and high‑availability patterns.
• Experience supporting large‑scale, high‑volume transactional systems.
• Strong debugging, triage, and problem‑solving skills across complex environments.
• Bachelor’s degree in computer science or related field.

• Competitive compensation (US $77,800.00 – $).
• Comprehensive insurance options.
• Matching contributions through the 401(k) plan and share purchase plan.
• Paid time off for vacation, holidays, and sick time.
• Paid parental leave.
• Learning opportunities and tuition assistance.
• Wellness and well‑being programs.

• Cloud Native…