The role combines hands-on architecture, technical leadership, stakeholder management, and delivery accountability. You will work closely with client architects, delivery teams, and business stakeholders to define scalable data platform solutions and ensure successful implementation.

We are a leading global IT services company helping customers modernize mission-critical systems, optimize data-driven business processes, and accelerate their digital transformation journeys.

Within our Data & AI Practice, we support some of Europe's largest enterprises in building next-generation analytics, AI, and cloud data platforms. As part of our continued investment in modern data technologies, we are expanding our Databricks and Modern Data Platform capabilities across Germany and Europe.

Key Responsibilities:
Architecture & Solution Design

• Design and govern modern cloud data platform architectures

• Define scalable data integration and data processing solutions using Databricks and Azure services

• Establish architecture standards, design principles, and technical best practices

• Review and approve solution designs with client and enterprise architects
   

Technical Leadership

• Lead teams of Data Engineers, Architects, and Analysts

• Provide technical guidance, mentoring, and code review support

• Support delivery teams in resolving complex technical challenges

• Act as the technical escalation point for architecture and implementation topics

Databricks & Data Platform Engineering

• Design and oversee Databricks-based data pipelines and data processing frameworks

• Drive implementation of modern Lakehouse and Data Platform concepts

• Support platform optimization, performance tuning, security, and governance

• Establish CI/CD and DataOps practices for enterprise-scale deployments

Delivery & Stakeholder Management

• Coordinate technical workstreams and ensure predictable delivery execution

• Collaborate with customer stakeholders, project management, and operations teams

• Manage technical risks, dependencies, and architectural decisions

• Support effort estimation, resource planning, and solution governance

Business Development & Talent Growth

• Support recruitment and technical candidate assessments

• Contribute to capability development within the Databricks and Data Platform practice

• Participate in customer discussions, workshops, and solution presentations

Required Skills & Experience:

Technical Skills

• Strong experience with Databricks and modern cloud-based data platforms

• Expertise in:

  • Azure Databricks

  • Data Integration & ETL/ELT Architecture

  • Azure Data Services

  • Azure DevOps

  • CI/CD and Infrastructure Automation

  • Data Lakehouse Architectures

  • SQL and Data Engineering best practices
     

Leadership Skills

• Experience leading technical teams and complex delivery engagements

• Strong stakeholder and customer communication skills

• Ability to drive architecture governance and technical decision-making

Preferred Qualifications

• Databricks certifications (Associate / Professional level)

• Microsoft Azure certifications

• Experience in enterprise-scale data modernization initiatives

• Experience in regulated or data-intensive industries

Thank you for taking time reviewing our job ad. If you are looking for a challenging opportunity, please do not hesitate to apply. We are eager to learn more about you!