Cloud Data Solutions Architect

1 dzień temu


Kraków, Polska Semantive Pełny etat
About Us

Semantive is an independent multi-cloud services company that helps enterprises and SMBs build new foundations for future growth through successful cloud transformation and breadth of expertise in applying cloud technologies to unlock new possibilities.

Today's digital and technological revolution is an important part of our business - we are not only adapting to it, but also taking an active part in creating and supporting companies in overcoming the associated challenges.

Our Mission

We aim to support customers at various stages of their cloud journey, from initial migration and cloud-native modernization to building platforms and scaling Infrastructure as Code processes for multiple development teams.

The Role

We are seeking a talented Cloud Data Solutions Architect eager to join us on this mission.

You will be responsible for:

  • Designing and implementing scalable data pipelines for extracting, transforming, and loading (ETL) data.
  • Creating and managing relational and non-relational databases, ensuring optimal performance and data integrity.
  • Building and optimizing data architectures for analytics, reporting, and machine learning.
  • Implementing data quality checks and ensuring data accuracy, completeness, and consistency.
  • Working with cloud platforms like AWS, Azure, or Google Cloud to deploy and manage data solutions.
  • Monitoring and troubleshooting data pipelines and infrastructure for performance and reliability.
  • Creating detailed documentation for data pipelines, workflows, and data governance policies.
Requirements

To be successful in this role, you will need:

  • 3+ years of experience as a Data Engineer or equivalent.
  • Experience with data platforms such as Databricks, Snowflake, MS Fabric.
  • Proficiency in working with MS Azure Cloud Services, including Azure Kubernetes, Azure Data Factory, and cloud storage solutions (data lake, data warehouse, data mart).
  • Hands-on expertise with ETL Tools, specifically Azure Data Factory, and orchestration frameworks like Dagster, Prefect, Airflow, or similar tools.
  • Knowledge of data governance frameworks, policies, and tools such as Unity or DataHub for cataloging and metadata management.
  • Experience with Delta Lake/Parquet formats and Medallion-based data architecture for scalable data solutions.
  • Familiarity with CI/CD pipelines and tools such as GitHub or Azure DevOps for version control and deployment automation.
  • Professional English proficiency both written and spoken (min. B2+/C1).
What We Offer

We provide:

  • A fully remote working model.
  • A consulting mindset.
  • Knowledge-sharing sessions, Lightning Talks.
  • An employee referral program.


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