Lead Consultant_ Databricks Platform - #2737619

Role - Lead Consultant

Technology – Databricks Platform Support & Infrastructure Operations

Location – Germany

Compensation – Competitive (including bonus)

Job Description

Highly experienced professional with 10+ years of experience leading Databricks Platform Operations and transformation initiatives for enterprise clients. The candidate will drive the strategic roadmap to evolve traditional operating models into an AI-driven Agentic Ops framework, leveraging technologies such as LangChain, LangGraph, LLMs, and AI Agents. The role is responsible for leading platform monitoring, operational excellence, automation, incident management, and service fulfillment initiatives across the Databricks ecosystem while serving as the primary bridge between business stakeholders and technical teams, translating client requirements into scalable solutions and delivery plans. The ideal candidate should possess strong expertise in Databricks platform operations, cloud technologies (AWS/Azure), observability, governance, automation, and team leadership. Proven experience in managing large-scale transformation programs, defining operating models, and driving innovation through AI-powered operations is essential, along with strong communication, stakeholder management, and leadership skills to guide cross-functional teams and deliver strategic business outcomes.

Required

• Overall 10+ years of experience in Data & Analytics, including leading Databricks Platform Operations, Managed Services, and enterprise transformation initiatives
• Strong expertise in Databricks Platform Administration, Operations, Governance, Security, and Monitoring.
• Hands-on experience with AWS and/or Azure cloud platforms, Infrastructure as Code (Terraform), and automation frameworks.
• Proven experience in Incident Management, Service Fulfillment, Operational Excellence, SRE, and ITIL-based support models.
• Experience leading large-scale transformation programs and driving operational modernization initiatives.
• Strong understanding of Data Lakehouse Architecture, Databricks Workspaces, Unity Catalog, Clusters, Jobs, and Access Management.
• Ability to define operating models, delivery roadmaps, KPIs, SLAs, and governance frameworks for platform operations.
• Excellent stakeholder management, client-facing communication, team leadership, and delivery management capabilities.
• Experience developing automation solutions using Python, APIs, workflow orchestration, and self-healing mechanisms.
• Understanding of cloud security, compliance, governance, FinOps, and enterprise architecture frameworks.
  
  

Preferred

• Experience with Agentic AI frameworks such as LangChain, LangGraph and other AI Agents.
• Familiarity with Kubernetes, CI/CD pipelines, DevOps/MLOps practices, and platform engineering concepts.
• Experience with observability and monitoring tools such as Grafana, Datadog, Splunk, CloudWatch, or Azure Monitor.
• Relevant certifications in Databricks, AWS/Azure, ITIL, Agile, Solution Architecture, or Generative AI technologies.
• Experience designing and implementing AI-driven Operations (AIOps) and autonomous support models.
  
  

Personal

Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include:

• High analytical skills
• A high degree of initiative and flexibility
• High customer orientation
• High quality awareness
• Excellent verbal and written communication skills
  
  

Overview

Infosys is a global leader in next-generation digital services and consulting. We enable clients in 59 countries to navigate their digital transformation.

With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, in 59 countries, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace.

All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.