Senior AWS/Databricks Infrastructure Engineer

Perficient • Creve Coeur, MO

8d • $64,974 - $149,880

About The Position

We are seeking a highly experienced Senior AWS / Databricks Infrastructure Engineer to join our platform engineering team. This individual will play a critical role in designing, scaling, and operating our cloud-based data platform, with a strong focus on AWS networking, Databricks infrastructure, and enterprise data integrations. This is a hands-on, senior-level role requiring deep technical expertise and the ability to operate independently in a fast-paced environment. The ideal candidate is a proactive problem solver who can quickly onboard, take ownership of complex infrastructure challenges, and drive operational excellence. Perficient is always looking for the best and brightest talent and we need you! We’re a quickly-growing, global digital consulting leader, and we’re transforming the world’s largest enterprises and biggest brands. You’ll work with the latest technologies, expand your skills, and become part of our global community of talented, diverse, and knowledgeable colleagues.

Requirements

• 5+ years of experience building and operating large-scale cloud infrastructure.
• 2+ years in a data-focused DevOps, SRE, or platform engineering role.
• Deep expertise in AWS architecture and networking, including multi-account environments.
• Strong hands-on experience with VPC design, CIDR/IP planning, subnet management, and VPC peering.
• Strong hands-on experience with AWS IAM and cloud security best practices.
• Proven experience managing infrastructure with Terraform at scale.
• Experience building and optimizing CI/CD pipelines (e.g., GitHub Actions, Jenkins).
• Strong operational mindset with experience in incident management and production support.
• Ability to work independently and ramp up quickly in complex environment.

Nice To Haves

• Hands-on experience with the Databricks Lakehouse Platform, including Unity Catalog, Delta Lake, MLflow.
• Experience administering Kubernetes (EKS) clusters in production environments.
• Familiarity with large-scale data platforms and distributed systems.

Responsibilities

• Design, implement, and manage complex AWS networking environments, including CIDR planning, subnet design, and IP address management, IPv4 exhaustion mitigation strategies and subnet sizing optimization, VPC architecture, peering, and multi-account connectivity.
• Troubleshoot and resolve advanced networking issues across distributed cloud environments.
• Ensure scalable and secure network architecture across all AWS accounts.
• Own and optimize Databricks deployments on AWS, including workspace networking configuration, compute cluster scaling, performance tuning, and cost optimization, IP allocation and release management for ephemeral job clusters.
• Support large-scale, production-grade data workloads using the Databricks Lakehouse Platform.
• Develop and manage infrastructure using Terraform across multi-environment and multi-account setups.
• Implement modular, reusable infrastructure patterns aligned with best practices.
• Drive automation across infrastructure provisioning and operational workflows.
• Build, optimize, and maintain CI/CD pipelines for infrastructure, applications, and data workloads.
• Improve pipeline reliability, performance, and deployment automation.
• Partner with engineering teams to enable seamless continuous delivery.
• Operate and manage EKS/Kubernetes environments, including deploying workloads using Helm and kubectl, configuring observability, logging, and monitoring, and troubleshooting cluster and application issues.
• Support a broad platform ecosystem including AWS, Databricks, and containerized services.
• Manage and troubleshoot integrations between AWS services, Databricks, Snowflake, Redshift, and other enterprise platforms.
• Ensure reliability and performance across interconnected systems.
• Strengthen infrastructure governance processes, including RFC/change management, release coordination, and incident response and root cause analysis.
• Improve platform reliability, observability, and operational practices.

Benefits

• The salary range for this position takes into consideration a variety of factors, including but not limited to skill sets, level of experience, applicable office location, training, licensure and certifications, and other business and organizational needs. The new hire salary range displays the minimum and maximum salary targets for this position across all US locations, and the range has not been adjusted for any specific state differentials. It is not typical for a candidate to be hired at or near the top of the range for their role, and compensation decisions are dependent on the unique facts and circumstances regarding each candidate. A reasonable estimate of the current salary range for this position is $64,974 to $149,880. Please note that the salary range posted reflects the base salary only and does not include benefits or any potential variable compensation programs. Information regarding the benefits available for this position are in our benefits overview [https://perficient.sharepoint.com/:b:/s/TADocs/IQDIWAqZ5bEQS6RUrBBOTvqFAY24gqK0FLYuXFCEeq17-7M].

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed