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  • Data Architect
    Architecture

    Data Architect

    Gdańsk
    4 863 - 8 510 USDNet/month - B2B
    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    B2B
    Operating mode
    Hybrid

    Tech stack

      Microsoft SQL

      advanced

      Azure Data Services

      advanced

      Databricks

      advanced

      Apache Spark

      advanced

      SQL Server

      advanced

      Power BI

      regular

      .Net

      regular

      Azure DevOps

      regular

      Machine Learning

      nice to have

    Job description

    Important!

    The requirement is that you will be available to work in a hybrid mode - 3 days at the office (Lęborska 3B, Gdańsk) and 2 days remote.


    About our client

    Our client is a digital solutions company helping organizations around the world achieve new thresholds of business performance. They work with clients in banking and financial services, hi-tech and manufacturing, insurance, consumer services, and more. They prepare their clients for sustainable success through experience design, cloud technology, advanced analytics, and business acceleration.

    Our client product teams work with a range of Microsoft tools, including .NET, Azure DevOps, MS SQL Server, IIS, and the Microsoft 365 suite. Data Platform team specializes in cutting-edge big data solutions, leveraging the Databricks platform.


    Who We Are Looking For:

    Proven 10 years experience as a Data Architect with a strong background in cloud-based data solutions, especially with Azure and Databricks.

    Hands-on experience with big data architectures, including designing and deploying data lakes, data warehouses, and ETL pipelines.


    Skills:

    • Expertise in Apache Spark, Databricks, Delta Lake, and other big data tools.
    • Solid understanding of relational databases (e.g., MS SQL Server, Azure SQL Database) and data modeling best practices.
    • Experience with Azure Data Factory, Azure Synapse, and Power BI for business intelligence and analytics.
    • Familiarity with data governance and security best practices (e.g., role-based access control, Azure Active Directory).

    Mindset:

    • Strong problem-solving skills and the ability to collaborate across teams and departments.
    • Ability to think strategically and design solutions that scale with business growth.
    • Passion for working with data and a commitment to delivering high-quality data solutions.



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