Job#: 3045655 Job Description: Data Engineering Lead / DevOps Lead - Data Intelligence Platform Enablement FrameworkPosition OverviewThe Data Engineering Lead / DevOps Lead is responsible for building and operationalizing the core foundation of the Data Intelligence Platform Enablement Framework. This role leads the implementation of governance-as-code, infrastructure-as-code, CI/CD automation, workspace configuration standards, platform monitoring, and observability capabilities to ensure a scalable, secure, and enterprise-ready data platform.
The ideal candidate is a hands-on technical leader with deep expertise in Databricks, Azure, DevOps, platform engineering, and automation. This individual will establish engineering standards, automate platform operations, and enable self-service deployment capabilities that accelerate delivery while maintaining governance, reliability, and operational excellence.
Key ResponsibilitiesPlatform Engineering & Foundation Build- Lead the implementation of the Data Intelligence Platform core infrastructure and enablement framework.
- Design and build reusable platform services, deployment patterns, and engineering standards.
- Develop scalable platform capabilities supporting analytics, data products, AI, and self-service development.
- Establish repeatable engineering practices that support enterprise adoption and growth.
Governance-as-Code- Design and implement governance-as-code frameworks across Databricks and Azure environments.
- Automate provisioning and enforcement of security, access controls, Unity Catalog policies, data classifications, and governance standards.
- Partner with Security, Architecture, and Data Governance teams to operationalize governance requirements through automation.
- Ensure platform controls are consistently deployed across environments.
Infrastructure-as-Code (IaC)- Lead infrastructure automation initiatives using Infrastructure-as-Code methodologies.
- Develop and maintain Terraform modules and deployment frameworks for Databricks and Azure services.
- Automate environment provisioning, configuration management, and platform scaling.
- Standardize deployment patterns to improve consistency, reliability, and speed.
CI/CD & Release Automation- Design and implement enterprise CI/CD pipelines supporting data engineering, analytics, and platform workloads.
- Establish automated deployment frameworks for code, infrastructure, notebooks, workflows, and platform configurations.
- Enable version control, automated testing, release management, and deployment governance.
- Improve developer productivity through automation and self-service platform capabilities.
Databricks Workspace Administration & Enablement- Define workspace architecture, environment standards, and deployment strategies.
- Manage workspace configuration, cluster policies, compute governance, secret management, and environment isolation.
- Develop standards for development, testing, and production environments.
- Ensure platform configurations align with security, governance, and operational requirements.
Monitoring, Observability & Reliability Engineering- Implement platform-wide monitoring, observability, and operational health capabilities.
- Define and manage logging, alerting, dashboards, performance monitoring, and incident response processes.
- Establish proactive monitoring for platform health, usage, performance, security, and cost management.
- Support Site Reliability Engineering (SRE) practices and operational excellence initiatives.
Technical Leadership & Engineering Excellence- Provide technical leadership and mentorship to platform engineers, data engineers, and DevOps resources.
- Establish engineering standards, deployment patterns, and operational best practices.
- Lead troubleshooting of complex platform, infrastructure, and automation challenges.
- Drive continuous improvement through automation, standardization, and platform innovation.
Required Qualifications- Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
- 8+ years of experience in Data Engineering, Platform Engineering, DevOps, or Cloud Infrastructure.
- 5+ years of hands-on experience with Azure cloud technologies.
- 3+ years of experience supporting Databricks platform deployments and administration.
- Strong experience with Terraform, Infrastructure-as-Code, CI/CD automation, and DevOps practices.
- Deep understanding of cloud security, identity management, networking, and platform governance.
- Experience implementing monitoring, observability, and operational support frameworks.
- Proven ability to lead technical initiatives and drive engineering best practices.
Preferred Qualifications- Databricks Certified Data Engineer or Databricks Platform certifications.
- Microsoft Azure DevOps Engineer Expert certification.
- Experience with Unity Catalog, Delta Lake, Azure Data Lake Storage, Azure Key Vault, and Azure Monitor.
- Experience implementing Governance-as-Code and Policy-as-Code frameworks.
- Knowledge of GitHub Actions, Azure DevOps Pipelines, Jenkins, or similar automation platforms.
- Experience supporting enterprise Data Intelligence, Data Product, or AI platforms.
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
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