Databricks Platform Engineer

<div class="isg-job-description“>Why AIS?

When you join AIS, you’re joining a mission-driven team that’s passionate about making a difference. You’ll work on projects that matter, alongside industry-leading experts, in an environment that fosters innovation, driving client success, and empowering our team to make a lasting impact. As an employee-owned company, we value collaboration, inclusivity, continuous growth, and shared success.

• Employee Ownership: Your contributions directly impact the company’s success, and you share in its achievements.

• Continuous Learning: Access to resources, training, and mentorship to support your professional growth.

• Inclusive Culture: A workplace where diversity is celebrated, and everyone’s voice is valued.

• Mission-Driven Work: Engage in projects that make a meaningful difference for our clients and communities.

What are we looking for?

At AIS, we’re looking for more than just skills – we’re looking for driven individuals who are passionate about making a difference, eager to grow, and aligned with our core principles.

What you will be doing?

This position is contingent upon contract award. We are currently pursuing a proposal and are seeking qualified candidates to include in our submission and identify candidates for future hiring needs on the program once awarded.

At AIS, we are dedicated to providing our employees with diverse opportunities to grow their careers while supporting a variety of impactful projects. For this position, we are seeking a talented individual to join AIS as a Infrastructure Engineer.

• Core Knowledge & Skills: Manages routing/switching and network security, multiOS environments, virtualization (e.g., VMware/HyperV), core cloud services, and release of IaC via pipelines; automates common admin tasks.

• Work & Complexity: Plans and executes upgrades/migrations, configures network devices and services, responds to incidents, monitors performance, and manages resources.

• Quality & Independence: Implements proactive monitoring, produces accurate documentation, improves processes, and works independently within project scope.

• Teamwork & Communication: Partners with peer teams, shares knowledge, coordinates changes, reports progress, and supports/train users.

• Consulting & Engagement: Advises internal teams on solutions and tools, evaluates technologies, recommends optimizations, and coordinates vendor support.

As your initial project assignment, you will support the unique needs of our client as a Databricks Platform Engineer.

Introduction

This role provides expert-level administrative and operational support for Databricks, including workspace setup, Unity Catalog management, secure data access, and MLOps enablement. The ideal candidate will have deep expertise in Databricks networking, Azure integrations, identity management, and Terraform automation to support scalable data science and GenAI initiatives across teams.

Responsibilities:

• Creating catalogs, connections to source systems, granting catalog access and supporting data access issue

• Manage workspace access, cluster policies, and Unity Catalog for secure data governance

• Support MLOps workflows including model training, deployment, and monitoring

• Enable data science teams with scalable compute, notebook orchestration, and pipeline automation

• Provide onboarding, documentation, and operational support for GenAI use cases

• Onboard new teams, such as the research team, to Databricks by creating workspaces, catalogs, schemas, and compute in line with EA best practices

• Provide active onboarding and orientation support to new teams and new team members to ensure minimal time to productivity within the Databricks platform

Location and Travel details

• This is a remote position with occasional travel (if needed)

Required for this opportunity

• Expertise in Databricks networking and compute architecture

• Strong understanding of identity and access management within Databricks

• Proficiency in Azure networking and resource integration (Key Vault, Data Lake Storage, OpenAI)

• Advanced Terraform skills for infrastructure automation

• experience with MLOps workflows and machine learning lifecycle management

• Familiarity with secure data governance and production data handling across workspaces

At AIS, we are committed to offering competitive and fair compensation that reflects the skills, experience, and contributions of each team member.

The targeted base salary range for this role is $89,000-$134,000 per year. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location.

We value transparency in our hiring process and are happy to discuss how your unique qualifications align with our compensation structure during the interview process.

Applied Information Sciences does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis. Employment decisions are based solely on qualifications, merit, and business needs.

AIS is an Equal Opportunity Employer
Applied Information Sciences is an Equal Opportunity Employer and does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status or any other basis covered by law. Employment decisions are based solely on qualifications merit, and business need.