Data Solution Architect

Data Solution Architect

Paris, France, Munich, Germany, Krakow or Warsaw, Poland or remote in Poland

6 Months contract with possible extension(Sub-Con or B2B 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.
• Design and implement solutions on Microsoft Fabric including Fabric Pipeline Lakehouse Warehouse and RealTime Analytics EventHouse.
• Knowledge on Migrate existing workloads eg Synapse Databricks Data Mart into Fabric.
• Work closely with business stakeholders and other IT teams to understand requirements and deliver effective solutions.
• Oversee the end to end 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 problem solving 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 8+ 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 cloud native solutions.