PlatformDevOps Lead

We are looking for a DevOps / Platform Lead to provide technical direction mentorship and escalation ownership across our DevOps and Platform Engineering practice.This is a technical leadership role with hands-on depth combining architecture guidance vendor management and engineering oversightfor the DevOps and Platform Engineer group supporting the enterprise Data Platform ingestion orchestration CI/CD and observability layers.Leads a team of Platform and DevOps Engineers.You own the health roadmap and delivery of the platform practice.

Key Responsibilities:

Technical Strategy & Architecture

• Set the technical direction for DevOps and Platform Engineering CI/CD standardsIaCpatterns orchestration and observability.

• Own the architecture roadmap for the ingestion layer scheduling and deployment automation.

• Guide the team on modern Databricks-native operating patterns.

Platform Operations & Reliability

• Serve as the single technical escalation point for DevOps and Platform incidents and change management.

• Drive problem management practices reduce recurring incidents and champion permanent fixes over reactive support.

• Ensure operational readiness foryear-end activities compliance and audit requirements.

• Track platform KPIs reliability incident volume deployment success rate and cost efficiency.

Automation & Continuous Improvement

• Champion automation andagentic operations to reduce manual effort and improve reliability.

• Drive continuous improvement in ways of working aligned with industry-standard operating maturity models.

Leadership & Mentorship

• Mentor and grow Platform and DevOps Engineers on best practices code quality and career growth.

• Shape team capacity and capability hiring input skills development and workload planning across the Platform/DevOps group.

• Represent the DevOps / Platform practice in Data & AI leadership forums and cross-functional reviews.

Stakeholder & Vendor Management

• Partner with Data Engineering leadership to align platform capabilities with data delivery needs.

• Own vendor coordination with Databricks and adjacent platform vendors case management upgrade planning and license/capacity discussions.

What Success Looks Like (First 612 Months):

• Youll establish the platforms CI/CD and observability standards reduce recurring incidents through problem management mature vendor and upgrade governance and lift the teams automation and AI-native operating maturity.

Required Qualifications:

• Bachelors orMasters degree in Computer Science Information Technology or equivalent relevant experience.

• 10years of overall experience in Data Engineering Platform Engineering or DevOpsincluding2 years in a technical lead capacity.

• Strong hands-on backgroundin Databricks cloud platforms CI/CD and Infrastructure-as-Code.

• Prior experience leading platform or DevOps teamssupporting enterprise data workloads.

• Proven experience managing vendor relationships and complex upgrade programs.

• Excellent communication and stakeholder management skills across engineering and business audiences.

Preferred Qualifications:

• Familiarity with UnityCataloggovernance and Databricks-native AI capabilities.

• Exposure to industry-standard maturity models for data and platform operations.

• Databricks Certified Data Engineer Professional or Cloud Solutions Architect Professional certification.

Competencies:

• Ownership and accountability end-to-end responsibility for platform health and delivery.

• Servant leadership grows the team while removing blockers.

• Strategic thinking balances short-term operational stability with long-term platform evolution.

• Diplomatic and clear communicator comfortable with vendors leadership and engineering peers.

• Bias for automation KPIs and outcome-driven service delivery.