Data Architect with AWS @

4 hours ago

Remote, Czech Republic Link Group Full time
  • Proven experience as a Data Architect, Cloud Architect, or Senior Data Engineer with architectural responsibilities
  • Expertise in AWS cloud services (e.g., S3, Redshift, Glue, Lambda, EMR, Athena, Kinesis, Lake Formation)
  • Strong knowledge of data modeling, ETL/ELT, and data warehousing concepts
  • Experience designing and implementing data lakes and modern data platforms
  • Familiarity with infrastructure-as-code (e.g., Terraform, CloudFormation)
  • Experience with SQL and at least one scripting/programming language (e.g., Python)
  • Understanding of data governance, compliance, and security standards
  • Excellent communication skills in English
Nice to Have:
  • Experience with Snowflake, Databricks, or similar platforms
  • Knowledge of machine learning workflows and MLOps
  • Familiarity with data mesh or event-driven architectures
About the Role:

We are looking for a skilled and experienced Data Architect with strong knowledge of AWS cloud services to join our team. This role involves designing scalable, secure, and high-performance data solutions in a cloud-native environment. You'll work closely with data engineers, analysts, and business stakeholders to create modern data platforms that support analytics, reporting, and AI/ML initiatives.

,[Design and implement cloud-native data architecture using AWS services, Define data models, architecture standards, and best practices for data pipelines, storage, and security, Collaborate with stakeholders to understand business and technical requirements, Guide development of data lakes, data warehouses, and real-time data streaming systems, Ensure compliance with data governance, security, and privacy standards, Evaluate and recommend appropriate AWS services and tools, Support the development and review of ETL/ELT processes, Provide technical leadership to data engineering teams] Requirements: Cloud, AWS Cloud, AWS S3, Redshift, Glue, AWS Lambda, Amazon EMR, Athena, Kinesis, Data modeling, ETL, Data Lake, Terraform, CloudFormation, SQL, Python, Security, Snowflake, Databricks, Machine learning, MLOps Tools: Agile, Scrum.

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