Chief Data Product Architect for Cloud Infrastructure
1 tydzień temu
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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