Modern Data Platform Architect/ Technical Team Lead (m/f/d)

Job Description:

We are looking for an experienced Modern Data Platform Architect / Technical Team Lead to design, lead, and deliver modern cloud-based data platforms with a strong focus on Databricks, Azure Data Services, and enterprise-scale data integration.

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!

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