Data Solution Architect

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