Lead Azure Data Engineer - Agentic AI Platform

United States Digital Space LLC; United States; Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Flexible hours

Hybrid/Remote work from abroad

Tech stack: Fabric, Delta Lake, Databr

Training & mentoring

Innovation space

Diversity & inclusion

Leadership impact

Job summary

United States Digital Space LLC is seeking a Lead Data Platform Engineer to define the technical vision for data-driven platforms on Azure. You will coordinate multiple projects, develop reference architectures, and ensure governance, compliance, and sustainability to support AI and analytics initiatives.

In this role you will advance lakehouse strategies, manage cross-project efforts, evaluate Azure features, lead teams, and participate in pre-sales to present solutions to executives.

Qualifications

• 7+ years of experience in data engineering and cloud data platform architecture.
• Expert knowledge of lakehouse architectures, mirroring, Delta Lake, fabric, and governance.
• Strategic thinking, change management, and stakeholder management.
• Fluent German and very good English skills; outstanding communication and presentation skills.
• Passion for diversity and inclusion and willingness to promote an inclusive culture.

Responsibilities

• Development and governance of the lakehouse strategy with standards and roadmaps.
• Cross-project technical management: harmonizing architectures, monitoring costs.
• Evaluating Azure features (LakeFlow, AI-powered designers, Fabric integrations) for production use.
• Conducting risk and compliance assessments; data protection and governance responsibilities.
• Leading and coaching teams; fostering a learning-oriented culture.
• Engaging in pre-sales and strategic consulting; presenting solutions to C-level stakeholders.

Skills

Leadership

Strategic thinking

Stakeholder management

Data governance

Azure

Communication

Tools

Fabric

Delta Lake

Databricks

Job description

We digitize decisions with data would you like to get involved?

As Lead Data Platform Engineer, you define the technical vision and strategy for data-driven platforms on Azure. You coordinate multiple projects, develop reference architectures, and ensure governance, compliance, and sustainability. With your expertise, you help ensure that our solutions provide the best foundation for AI and analytics initiatives.

Tasks & Responsibilities:

• Development and implementation of the lakehouse strategy: Defining standards, roadmaps, and best practices for Fabric, Delta Lake, mirroring, and Unity Catalog

• Cross-project technical management: Harmonizing architectures, managing resources, monitoring quality standards and costs

• Evaluating innovative Azure features (LakeFlow, AI-powered pipeline designers, Fabric integrations) for productive use

• Conducting risk and compliance assessments; responsibility for data protection, security, and governance

• Leading and coaching teams; building a learning-oriented culture

• Active participation in pre-sales and strategic consulting; presenting solutions to C-level stakeholders

What we offer you

• Flexible working: Trust-based working hours, hybrid working, and remote working possible (residence in Germany)

• State-of-the-art technology stack: Work with Fabric, Delta Lake, Databricks, Mirroring-ideal for tech-savvy juniors

• Targeted further training: Working hours for training, certifications, and mentoring

• Innovation space: Opportunity to test new tools and frameworks and develop proof-of-concepts

• Diversity & inclusion: We welcome all applicants and promote an inclusive environment; your ideas are important to us

• Leadership influence: You will shape technical strategies, establish governance processes, and drive innovation in a rapidly growing team

Requirements

• 7+ years of experience in data engineering and cloud data platform architecture; proven leadership experience

• Expert knowledge of lakehouse architectures, mirroring, Delta Lake, fabric, and governance

• Strategic thinking, change management, and stakeholder management

• Fluent German and very good English skills; outstanding communication and presentation skills

• Passion for diversity and inclusion and willingness to promote an inclusive culture