Chief Data Product Architect for Cloud Infrastructure

1 tydzień temu


Łódź, Polska RITS Pełny etat

We are seeking a seasoned technical leader to spearhead our data product initiatives on the AWS platform. As a Chief Data Product Architect, you will be responsible for designing and developing scalable, secure, and high-performing data products that meet the needs of our Raw Materials Data Products.

The ideal candidate will have a proven track record of leading technical teams and driving data product development on AWS. They will possess in-depth knowledge of AWS services, including Lambda, Fargate, EC2, S3, AWS Glue, Athena, Step Functions, Event Bridge, and SQS. Additionally, they will have a strong understanding of data architecture, modeling, and ETL processes in AWS and Snowflake environments.

Key responsibilities will include:

  • Leading the architecture and design of data products on the AWS platform, ensuring scalability, security, and performance.
  • Mentoring a team of data engineers and scientists, fostering a collaborative work environment.
  • Collaborating with product managers and stakeholders to align technical solutions with business objectives.
  • Driving the technical roadmap for data product development on AWS, adhering to best practices.
  • Overseeing quality assurance processes, including code reviews and testing.

We offer a competitive salary of $170,000 per year, 100% remote work arrangement, free private medical insurance or Medicover Sport Membership, long-term cooperation, and opportunities for professional growth and development.

To be successful in this role, you will need to have:

  • Proven experience in technical leadership focused on data products and pipelines on the AWS platform.
  • In-depth knowledge of AWS services, including Lambda, Fargate, EC2, S3, AWS Glue, Athena, Step Functions, Event 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.


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