Lead Consultant_ Databricks Platform

Infosys Limited; Frankfurt; Vor Ort; EUR 110.000 - 150.000; Vollzeit

Zusammenfassung

Infosys Limited in Germany seeks a Lead Consultant to manage Databricks Platform Operations and drive transformation toward an AI-driven Agentic Ops framework.

You will lead platform monitoring, automation, incident management, and service fulfillment across the Databricks ecosystem while aligning client requirements with scalable delivery plans. Strong leadership and stakeholder management are essential.

Qualifikationen

• 10+ years in Data & Analytics with Databricks leadership.
• Expertise in Databricks administration, governance, security & monitoring.
• Hands-on AWS and/or Azure, Terraform & automation.
• Incident management, service fulfillment & ITIL-style support.
• Experience leading large-scale transformation programs.
• Knowledge of Data Lakehouse, Unity Catalog, clusters, jobs & access mgmt.
• Ability to define operating models, roadmaps, KPIs, SLAs & governance.
• Strong stakeholder management & client-facing leadership.
• Automation development using Python & APIs.
• Understanding cloud security, governance, FinOps & enterprise frameworks.

Aufgaben

• Lead Databricks platform operations & transformation initiatives.
• Drive strategic roadmap toward AI-driven Agentic Ops.
• Oversee platform monitoring, automation, incident management & service fulfillment.
• Bridge business stakeholders & technical teams; translate requirements.
• Guide cross-functional teams to deliver strategic business outcomes.

Kenntnisse

Databricks Ops

Governance & Security

Cloud (AWS/Azure)

Terraform

Python automation

SRE/ITIL

Stakeholder mgmt

Team leadership

Delivery management

Communication skills

Grafana

Datadog

Splunk

CloudWatch

Kubernetes

CI/CD tooling

Azure Monitor

Tools

Grafana

Datadog

Splunk

CloudWatch

Kubernetes

CI/CD tooling

Azure Monitor

Jobbeschreibung

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

• 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.