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Role: Astronomer/Airflow ArchitectLocation: Mississauga, ON (Hybrid)The Solutions Architect specializing in Cloud Orchestration, will work with a small group of technologists and become a trusted advisor delivering technical solutions leveraging Apache Airflow hosted on the Astronomer platform. In this role, he will engineer a wide range of use cases where, Apache Airflow sits at the center of the solution, with the goal of rapidly developing solutions for the use cases. Help guide a small group of technologists in their Apache Airflow journeys, including identifying new use cases and onboarding new domain teams.Review, optimize, and tune data ingestion and extraction pipelines orchestrated by Airflow.Development of frameworks to manage and engineer a large number of pipelines for the entire domain.Build architecture, data flow, and operational diagrams and documents, with detailed physical and logical layers.Provide reference implementations of various activities, including composing data pipelines in Airflow, implementing new Airflow features, or integrating Airflow with 3rd party solutions.Keep up with the latest Astro and Airflow features, in order to better advise the technologies on impactful improvements they can make.Collaborate to build reusable assets, automation tools, and documented best practices.Interact with Domain and Engineering teams to channel product feedback and requirements discussions.Work with technology team members to ensure that are realizing value in their Airflow and Astronomer journeysSkills Required:Experience with Apache Airflow in production environments.Experience in designing and implementing ETL, Data Warehousing, and ML/AI use cases.Proficiency in Python.Knowledge of Azure cloud-native data architecture. Demonstrated technical leadership on team projects.Strong oral and written communication skills.Willingness to learn new technologies and build reference implementations.Experience in migrating workflows from legacy schedulers (Tidal) to Apache Airflow.Experience in integrating with Azure Data Factory pipelines.Experience Snowflake and Databricks experience.Experience working with containers.SQL experience.Kubernetes experience, either on-premise or in the cloud.Enterprise data experience in regulated environments.
