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Data Solution Architect

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Onsite

Data Solution Architect

Infinity Quest

Data Solution Architect

Skills

SQL QueriesBig DataData EngineeringDatabricksData AnalysisPySparkHadoopPower BIAzure

1 month ago

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Important information


Contract type:

Freelance / Contract

Location:

Poland

Work mode:

Onsite

Published on:

22 September 2026

What they need


Hiring: Data Solution Architect – Azure / Databricks / Microsoft Fabric

📍 Location: Remote within Poland

📅 Contract: 6 Months, with possible extension

💼 Engagement: B2B / Subcontractor

We are looking for an experienced Data Solution Architect to lead the design and implementation of advanced analytics and data solutions across Azure, Databricks, and Microsoft Fabric.

Key Responsibilities

  • Lead the architecture, design, and implementation of advanced analytics solutions using Azure Databricks and Microsoft Fabric .
  • Design and implement solutions across Fabric Pipelines, Lakehouse, Warehouse, and Real-Time Analytics/EventHouse .
  • Design and develop scalable data pipelines and ETL/ELT processes using Azure Databricks, PySpark, and related technologies .
  • Work on migration of existing workloads, including Synapse, Databricks, and Data Mart solutions, to Microsoft Fabric .
  • Integrate Databricks with Azure Data Lake, Azure Synapse, Azure Data Factory, and on-premise systems .
  • Collaborate closely with business stakeholders and IT teams to understand requirements and deliver scalable solutions.
  • Oversee end-to-end implementation, ensuring alignment with architectural standards and business requirements.
  • Provide technical leadership and mentorship to data engineering teams.
  • Ensure appropriate documentation of architecture, processes, and data flows.
  • Apply best practices around security, governance, scalability, and code quality .
  • Stay current with developments across Databricks, Microsoft Fabric, and the Azure data ecosystem.

Essential Skills

  • Strong hands-on experience with Azure Databricks , including cluster management, notebooks, and Delta Lake.
  • Strong knowledge of Apache Spark, PySpark, Hadoop , and big data processing frameworks.
  • Deep understanding of Azure Data Lake Storage, Azure Synapse, and Azure Data Factory .
  • Strong experience with ETL/ELT, data warehousing, data lakes, and data engineering .
  • Excellent SQL skills and familiarity with NoSQL databases.
  • Experience with CI/CD pipelines and Git .
  • Knowledge of cloud security and governance best practices.

Nice to Have

  • Microsoft Fabric experience.
  • Power BI for reporting and dashboarding.
  • Spark Streaming and real-time data processing.
  • Experience with Azure Resource Manager (ARM) templates and Infrastructure as Code (IaC).

Experience Required

  • 8+ years of experience developing data ingestion and transformation pipelines using Databricks, Synapse Notebooks, Azure Data Factory, or similar technologies.
  • Strong hands-on experience with Delta Tables, Delta Lake, and ADLS Gen2 .
  • Experience with Auto Loader and Delta Live Tables for data ingestion and transformation.
  • Strong experience with Databricks SQL , including query development and optimization.
  • Experience integrating Databricks with Azure Synapse, ADLS Gen2, and Power BI .
  • Experience developing, optimizing, and deploying Power BI reports .
  • Familiarity with modern CI/CD practices for Databricks and cloud-native data solutions.

Soft Skills

  • Excellent communication and stakeholder management skills.
  • Ability to explain complex technical concepts to non-technical audiences.
  • Strong analytical and problem-solving skills.
  • Proactive approach to identifying and resolving technical challenges.
  • Strong leadership and mentoring capabilities.

📩 Interested? Please share your updated CV along with your availability and relevant experience in Azure Databricks / Microsoft Fabric.

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