Senior Databricks Platform Engineer

Senior Databricks Platform Engineer – Azure Cloud & Data Operations

Our vision is to become the world's most sought-after niche digital transformation company that helps customers realize value through innovation. Our mission is to co-create success with our customers, partners and community. Our goal is to enable employees to dream, grow and make things happen. We are committed to excellence. We are a dependable partner organization that delivers on commitments. We strive to maintain integrity with our employees and customers. Every action we take is driven by value. The core of who we are is through our well-knit teams and employees. You are the core of a values driven organization. You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve. You are excited about creating change because your skills can help the greater good of every customer, industry and community.

We are hiring a Senior Databricks Platform Engineer – Azure Cloud & Data Operations.

Location:

Remote – United States

Engagement Type:

Long-Term Enterprise Consulting Engagement

Domain Focus:

Databricks, Azure Cloud, Enterprise Data Platforms, Platform Engineering, DevOps Enablement

About the Opportunity

Our client is undergoing a large-scale enterprise modernization initiative focused on Azure-native infrastructure, platform engineering, automation, and modernization of data-intensive application ecosystems. As part of this transformation, multiple calculation-heavy and operationally critical applications are being integrated into a growing Databricks-centered enterprise data platform spanning:

• Azure cloud services
• AKS and containerized platforms
• GitHub and CI/CD ecosystems
• enterprise automation and analytics environments

We are seeking a Senior Databricks Platform Engineer to support architecture, operational engineering, platform enablement, and modernization activities across this evolving environment. This role blends Databricks platform expertise, cloud infrastructure awareness, DevOps-aligned engineering, and operational platform support.

Role Overview

The Senior Databricks Platform Engineer will support the design, operational enablement, modernization, and ongoing support of enterprise Databricks platforms and associated data processing environments. This engineer will work closely with cloud platform teams, DevOps organizations, infrastructure engineering teams, application modernization groups, and data and analytics stakeholders. The role requires strong awareness of how Databricks modernization activities impact existing CI/CD pipelines, automation frameworks, operational governance, and enterprise cloud platform standards.

Key Responsibilities

Databricks Platform Engineering & Operations

• Support architecture and operational engineering across enterprise Databricks environments
• Design and maintain scalable Lakehouse, Delta Lake, and Unity Catalog solutions
• Support administration of Databricks Workspaces, Jobs, Notebooks, Clusters
• Optimize Spark workloads, cluster configurations, and platform performance
• Support batch and streaming data processing workloads
• Assist with multi-environment platform management across Dev, QA, and Production

Platform Integration & DevOps Alignment

• Support integration of Databricks platforms with Azure-native ecosystems and enterprise applications
• Work across integrations involving APIs, Azure Storage Accounts, Data Lakes, reporting and analytics platforms
• Collaborate with platform and DevOps teams to align Databricks activities with existing CI/CD and automation standards
• Support deployment workflows utilizing GitHub, Azure DevOps, Infrastructure as Code frameworks
• Help ensure modernization activities do not disrupt existing automated deployment pipelines and operational processes

Governance, Reliability & Platform Support

• Support governance, access management, monitoring, logging, and operational security practices
• Assist with implementation of RBAC, lineage, encryption, platform governance controls
• Participate in troubleshooting, operational support, and root cause analysis activities
• Contribute to documentation, operational standards, and platform best practices

Required Qualifications

• 6+ years of experience within cloud, platform engineering, data engineering, or enterprise analytics ecosystems
• 3+ years of hands-on experience supporting enterprise Databricks environments
• Strong experience with Delta Lake, Unity Catalog, Spark workloads, cluster operations, Databricks Workspaces
• Experience with Azure cloud services and cloud-native platform concepts
• Familiarity with Azure DevOps, GitHub workflows, CI/CD pipeline concepts, deployment automation
• Experience supporting APIs, distributed application integrations, and enterprise data platforms
• Strong troubleshooting and operational support capabilities
• Strong communication and stakeholder collaboration skills

Preferred Qualifications

• Experience with PySpark, Python, SQL, Spark SQL, Scala
• Familiarity with AKS/Kubernetes, Terraform, Bicep, Infrastructure as Code practices
• Experience with Azure Data Lake, Event Hub, streaming architectures, enterprise analytics environments
• Familiarity with monitoring and observability platforms such as Azure Monitor, Datadog
• Exposure to enterprise modernization and cloud migration initiatives

What This Role Is

• A hands-on enterprise Databricks platform engineering role
• A modernization-focused engineering opportunity within a large Azure ecosystem
• A hybrid role spanning cloud integration, operational engineering, and DevOps-aware platform support
• A collaborative engineering role supporting scalable enterprise data and analytics platforms

What This Role Is Not

• A pure data scientist or analytics-only role
• A narrowly scoped ETL development position
• A traditional infrastructure administration role
• A short-term migration-only engagement

Why Work With Us

You will be joining a globally recognized consulting and technology organization supporting enterprise-scale transformation initiatives across Azure cloud platforms, platform engineering, DevOps and automation, large-scale data modernization, analytics and AI-enabled ecosystems. This role provides the opportunity to help shape and support modern enterprise data platform operations within a highly collaborative global engineering environment.