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  • Tech Lead / Solution Architect for Data Products (AWS/Snowflake)
    Data

    Tech Lead / Solution Architect for Data Products (AWS/Snowflake)

    Lublin
    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    B2B
    Operating mode
    Remote

    Tech stack

      Data

      master

      Amazon AWS

      master

      DevOps

      advanced

      ETL

      advanced

      Microsoft SQL

      advanced

      Snowflake

      advanced

    Job description

    We are excited to offer you the position of Technical Leader for Data Products and Data Pipeline Solutions. In this role, you will provide technical leadership in designing, developing, and deploying data products and pipeline solutions using AWS and Snowflake platforms for our Raw Materials Data Products.

    We look forward to welcoming you to our team! Your expertise will be invaluable in driving our data initiatives forward.


    We offer:

     

    • 100% Remote job
    • Free private medical insurance OR 💪 Medicover Sport Membership
    • Ready to have you on a team ASAP! 
    • Long-term cooperation

     

    Responsibilities:

     

    • Lead the architecture and design of data products on the AWS platform, ensuring scalability, security, and performance.
    • Mentor a team of data engineers and scientists, fostering a collaborative work environment.
    • Collaborate with product managers and stakeholders to align technical solutions with business objectives.
    • Drive the technical roadmap for data product development on AWS, adhering to best practices.
    • Oversee quality assurance processes, including code reviews and testing.
    • Communicate complex technical concepts effectively to non-technical stakeholders.


    We are looking for:


    • Proven experience in technical leadership focused on data products and pipelines on the AWS platform.
    • In-depth knowledge of AWS services such as LambdaFargateEC2S3AWS GlueAthenaStep FunctionsEvent Bridge, and SQS.
    • Strong understanding of data architecture, modeling, and ETL processes in AWS and Snowflake environments.
    • Excellent communication skills for effective collaboration across teams.
    • Proficient in optimizing data pipelines for performance and troubleshooting data-related issues.
    • Knowledge of SQL for querying data and experience in Python development.
    • Familiarity with DevOps tools like GitLab CI/CD and AWS CDK; experience with Snowflake (warehouses, dbt, vault) is essential, with familiarity in Liquibase as a plus.


    Don't hesitate and apply now!

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