Job Details

ID #54770975
State Pennsylvania
City Philadelphia
Job type Full-time
Salary USD TBD TBD
Source IntegriChain
Showed 2025-11-04
Date 2025-11-04
Deadline 2026-01-03
Category Et cetera
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Senior Database Engineer

Pennsylvania, Philadelphia, 19113 Philadelphia USA
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Join our DevOps Engineering team as a Senior Database Engineer responsible for designing, optimizing, and automating cloud database solutions across AWS RDS, Postgres, and Snowflake. This role focuses on performance engineering, data integration, and automation ensuring our data platforms are scalable, reliable, and efficient. You’ll work closely with DevOps and Product Engineering to build high-performing data infrastructure that supports critical applications and analytics.Key Responsibilities:Database Engineering & OptimizationDesign, build, and optimize database solutions using Snowflake, PostgreSQL, and Oracle RDS.Engineer efficient data models, ETL/ELT pipelines, and query performance tuning for analytical and transactional workloads.Implement replication, partitioning, and data lifecycle management to enhance scalability and resilience.Manage schema evolution, data versioning, and change management in multienvironment deployments.Automation & InfrastructureBuild and manage database infrastructure as code using Terraform.Automate deployment, configuration, and performance monitoring of data environments.Integrate database workflows with CI/CD pipelines and DevOps automation frameworks.Develop scripts and utilities in Python and other relevant languages for operational efficiency and consistency.Security & ComplianceImplement data governance, encryption, and role-based access controls across Snowflake and RDS platforms.Partner with Security and DevOps teams to ensure audit readiness, compliance, and data protection.Partner with Security, DevOps, and compliance teams to maintain audit readiness and data integrity.Collaboration & SupportPartner with Product Engineering and Analytics teams to deliver performant, reliable data solutions.Participate in incident response, root cause analysis, and capacity planning.Mentor team members and contribute to documentation, automation standards, and best practices.

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