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

Tech Stack

DATA
AMAZON AWS
MICROSOFT SQL
SNOWFLAKE
ETL
DEVOPS

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 jobWorking hours: Starting from 12:00 or ideally from 2 PM CET to have the overlap with the US team in the Eastern Time zoneBudget for materials and hardware: such as standing desks, laptops, monitors or screens, Co-working office, etc.Free private medical insurance OR 💪 Medicover Sport MembershipReady 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 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.Don't hesitate and apply now!