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Astronomer/Airflow Architect

2 weeks ago

Mississauga, Ontario, Canada VLink Inc Full time $120,000 - $180,000 per year

Role: Astronomer/Airflow Architect

Location: 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 journeys

Skills 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.