Infinity Quest
Data Solution Architect
Skills
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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