Databricks Engineer Jobs in Missouri (NOW HIRING)

Job Overview:

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 a part of our global community of talented, diverse, and knowledgeable colleagues.

• 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
  • 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

Preferred Qualifications

• 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

WHAT WE BELIEVE

At Perficient, we promise to challenge, champion, and celebrate our people. You will experience a unique and collaborative culture that values every voice. Join our team, and you'll become part of something truly special.

We believe in developing a workforce that is as diverse and inclusive as the clients we work with. We're committed to actively listening, learning, and acting to further advance our organization, our communities, and our future leaders... and we're not done yet.

Perficient, Inc. proudly provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws. Perficient, Inc. complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Perficient, Inc. expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or covered veterans. Improper interference with the ability of Perficient, Inc. employees to perform their expected job duties is absolutely not tolerated.

Disability Accommodations:

Perficient is committed to providing a barrier-free employment process with reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or accommodation due to a disability, please contact us.

Applications will be accepted until the position is filled or the posting is removed.

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 $73,008 to $170,640. 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.

Disclaimer:  The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification.  Management retains the discretion to add or change the duties of the position at any time. 

#LI-RS1

Cloud Infrastructure and Networking

• 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

Databricks Platform Operations

• 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

Infrastructure as Code & Automation

• 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

CI/CD & Platform Engineering

• 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

Kubernetes and Platform Operations

• Operate and manage EKS/Kubernetes environments:
  • Deploy workloads using Helm and kubectl
  • Configure observability, logging, and monitoring
  • Troubleshoot cluster and application issues
• Support a broad platform ecosystem including AWS, Databricks, and containerized services

Enterprise Integrations

• Manage and troubleshoot integrations between:
  • AWS services
  • Databricks
  • Snowflake, Redshift, and other enterprise platforms
• Ensure reliability and performance across interconnected systems

Operational Excellence and Governance

• Strengthen infrastructure governance processes, including:
  • RFC/change management
  • Release coordination
  • Incident response and root cause analysis
• Improve platform reliability, observability, and operational practices