Senior Databricks Lead Engineer for Data Platforms

Tenth Revolution Group; København; On-site; DKK 900,000 - 1,300,000; Full time

Job summary

Tenth Revolution Group in Copenhagen is seeking a senior data specialist to design and deliver scalable data platforms for client engagements, with a strong emphasis on modern Databricks architectures and GenAI enabled insights.

You will mentor colleagues, own delivery, and collaborate across business and tech teams to translate complex data needs into robust, production-grade solutions in Azure and the broader data stack.

Qualifications

• Extensive hands-on experience with Databricks — including Delta Lake, Unity Catalog, and Databricks Workflows/Jobs.

Responsibilities

• Design, build, and optimize data pipelines and lakehouse architectures on Databricks (Delta Lake, Unity Catalog, Workflows).
• Lead and manage client projects, ensuring timely and high-quality delivery of data platform solutions.
• Collaborate with clients to understand their business needs and translate them into scalable technical solutions.
• Write production-grade Spark (PySpark or Spark SQL) for data transformation at scale.
• Implement medallion architectures, data quality frameworks, and governance patterns using Unity Catalog.
• Integrate Databricks with the broader Azure ecosystem (ADLS, Data Factory, Key Vault, Entra ID).
• Develop and maintain data models, pipelines, and orchestration across client environments.
• Explore and implement advanced techniques in GenAI and ML using Databricks capabilities (MLflow, Model Serving).
• Mentor and guide team members, fostering a culture of continuous learning and improvement.

Skills

Databricks

PySpark

SQL

Python

Data modeling

Communication skills

Leadership

Tools

Delta Lake

Unity Catalog

Databricks Workflows/Jobs

Azure

dbt

Power BI

Job description

Tenth Revolution Group in Copenhagen is seeking a senior data specialist to design and deliver scalable data platforms for client engagements, with a strong emphasis on modern Databricks architectures and GenAI enabled insights.

You will mentor colleagues, own delivery, and collaborate across business and tech teams to translate complex data needs into robust, production-grade solutions in Azure and the broader data stack.