Data Solution Architect

LTM; München; Hybrid; EUR 110,000 - 150,000; Full time

Job summary

LTM in Munich, Germany, seeks a Data Solution Architect for a 6‑month contract. Hybrid or remote in Germany. You will lead the architecture design and end‑to‑end delivery of advanced analytics using Azure Databricks Fabric, and mentor the data engineering team.

The role requires deep Azure Databricks expertise, Delta Lake, Synapse, Data Factory, PySpark, SQL, and CI/CD. You will collaborate with stakeholders, ensure governance, and drive innovative data solutions.

Qualifications

• 15+ years of experience in data ingestion and transformation pipelines.
• Deep expertise in Azure Databricks, Delta Lake, and Synapse.
• Strong SQL and NoSQL familiarity; experience with PySpark and Hadoop/Spark.
• Proven ability to lead architecture and mentor data engineers.
• Experience integrating Databricks with Azure services and Power BI.

Responsibilities

• Lead architecture design and implementation of analytics solutions with Azure Databricks Fabric.
• Oversee end-to-end data solutions ensuring alignment with requirements and best practices.
• Develop data pipelines/ETL using Databricks PySpark; integrate with Azure services.
• Provide technical leadership, document data flows, and enforce security/governance.
• Stay updated on Databricks developments to drive innovation.

Skills

Azure Databricks

PySpark

SQL

Delta Lake

Data Lake Storage

Azure Synapse

Azure Data Factory

ETL/ELT

CI/CD

Git

Cloud security

Big data

Databricks SQL

Tools

Git

CI/CD pipelines

Databricks

Power BI (Nice to have)

Job description

Data Solution Architect

Munich, Germany(Hybrid or remote in Germany)

6 Months contract

• Lead the architecture design and implementation of advanced analytics solutions using Azure Databricks Fabric The ideal candidate will have a deep understanding of big data technologies data engineering and cloud computing with a strong focus on Azure Databricks along with Strong SQL
• Work closely with business stakeholders and other IT teams to understand requirements and deliver effective solutions
• Oversee the endtoend implementation of data solutions ensuring alignment with business requirements and best practices
• Lead the development of data pipelines and ETL processes using Azure Databricks PySpark and other relevant tools
• Integrate Azure Databricks with other Azure services eg Azure Data Lake Azure Synapse Azure Data Factory and onpremise systems
• Provide technical leadership and mentorship to the data engineering team fostering a culture of continuous learning and improvement
• Ensure proper documentation of architecture processes and data flows while ensuring compliance with security and governance standards
• Ensure best practices are followed in terms of code quality data security and scalability
• Stay updated with the latest developments in Databricks and associated technologies to drive innovation
• Strong experience with Azure Databricks including cluster management notebook development and Delta Lake
• Proficiency in big data technologies eg Hadoop Spark and data processing frameworks eg PySpark
• Experience with ETLELT processes data warehousing and building data lakes
• Strong SQL skills and familiarity with NoSQL databases
• Experience with CICD pipelines and version control systems like Git
• Knowledge of cloud security best practices

Role Description

Data Solution Architect

Munich, Germany(Hybrid or remote in Germany)

6 Months contract

Responsibilities

• Lead the architecture design and implementation of advanced analytics solutions using Azure Databricks Fabric The ideal candidate will have a deep understanding of big data technologies data engineering and cloud computing with a strong focus on Azure Databricks along with Strong SQL
• Work closely with business stakeholders and other IT teams to understand requirements and deliver effective solutions
• Oversee the endtoend implementation of data solutions ensuring alignment with business requirements and best practices
• Lead the development of data pipelines and ETL processes using Azure Databricks PySpark and other relevant tools
• Integrate Azure Databricks with other Azure services eg Azure Data Lake Azure Synapse Azure Data Factory and onpremise systems
• Provide technical leadership and mentorship to the data engineering team fostering a culture of continuous learning and improvement
• Ensure proper documentation of architecture processes and data flows while ensuring compliance with security and governance standards
• Ensure best practices are followed in terms of code quality data security and scalability
• Stay updated with the latest developments in Databricks and associated technologies to drive innovation

Essential Skills

• Strong experience with Azure Databricks including cluster management notebook development and Delta Lake
• Proficiency in big data technologies eg Hadoop Spark and data processing frameworks eg PySpark
• Deep understanding of Azure services like Azure Data Lake Azure Synapse and Azure Data Factory
• Experience with ETLELT processes data warehousing and building data lakes
• Strong SQL skills and familiarity with NoSQL databases
• Experience with CICD pipelines and version control systems like Git
• Knowledge of cloud security best practices

Soft Skills

• Excellent communication skills with the ability to explain complex technical concepts to nontechnical stakeholders
• Strong problemsolving skills and a proactive approach to identifying and resolving issues
• Leadership skills with the ability to manage and mentor a team of data engineers

Nice To Have Skills

• Power BI for dashboarding and reporting
• Microsoft Fabric for analytics and integration tasks
• Spark Streaming for processing realtime data streams
• Familiarity with Azure Resource Manager ARM templates for infrastructure as code IaC practices

Experience

• Demonstrated expertise of 15 years in developing data ingestion and transformation pipelines using Databricks Synapse notebooks and Azure Data Factory
• Solid understanding and hands on experience with Delta tables Delta Lake and Azure Data Lake Storage Gen2
• Experience in efficiently using Auto Loader and Delta Live tables for seamless data ingestion and transformation
• Proficiency in building and optimizing query layers using Databricks SQL
• Demonstrated experience integrating Databricks with Azure Synapse ADLS Gen2 and Power BI for end to end analytics solutions
• Prior experience in developing optimizing and deploying Power BI reports
• Familiarity with modern CICD practices especially in the context of Databricks and cloudnative solutions