Data Solution Architect

Pracyva; München; Hybrid; EUR 120.000 - 150.000; Teilzeit

Zusammenfassung

Pracyva in Munich, Germany seeks a senior data architect to lead the architecture design and implementation of advanced analytics solutions using Azure Databricks Fabric. The role requires deep expertise in big data, data engineering, and cloud computing with a focus on Azure Databricks, along with strong SQL.

You will mentor a data engineering team, collaborate with stakeholders, design end-to-end data pipelines with PySpark and Delta Lake, and integrate Databricks with Azure Data Lake,

Qualifikationen

• 15+ years of experience developing data ingestion and transformation pipelines using Databricks, Synapse notebooks and Azure Data Factory.
• Solid experience with Delta tables, Delta Lake and Azure Data Lake Storage Gen2.
• Proven ability to build and optimize query layers using Databricks SQL and to integrate Databricks with Azure Synapse, ADLS Gen2 and Power BI.

Aufgaben

• Lead architecture design and implementation of advanced analytics solutions using Azure Databricks Fabric.
• Collaborate with business stakeholders and IT teams to capture requirements and deliver solutions.
• Oversee end-to-end data solution implementations ensuring alignment with business needs and best practices.
• Develop data pipelines and ETL processes using Azure Databricks, PySpark and related tools.
• Integrate Databricks with Azure services (Data Lake, Synapse, Data Factory) and on-prem systems.

Kenntnisse

Azure Databricks

SQL

PySpark

Leadership

CI/CD

Git

Security practices

Tools

Azure Data Lake

Azure Synapse

Azure Data Factory

Delta Lake

Power BI

Databricks SQL

Delta Live Tables

Auto Loader

Jobbeschreibung

Munich, Germany (Hybrid or remote in Germany)

6 Months contract

Looking for Bilingual candidate

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
• 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

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 transformationProficiency 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