As a Sr Data Architect, you will be part of a dynamic team with experienced professionals, dedicated to delivering comprehensive solutions that harness the power of Data and Generative AI technology, including the development of custom-built products.
Qualifications
What you bring
- Build Data pipelines required for optimal extraction, anonymization, and transformation of data from a wide variety of data sources using SQL, NoSQL and AWS ‘big data’ technologies.
- Work with stakeholders including the Product Owners, Developers and Data scientists to assist with data-related technical issues and support their data infrastructure needs.
- Ensure that data is secure and separated following corporate compliance and data governance policies
- Take ownership of existing ETL scripts, maintain and rewrite them in modern data transformation tools whenever needed.
- Being an automation advocate for data transformation, cleaning and reporting tools.
- You are proficient in developing software from idea to production
- You can write automated test suites for your preferred language
- You have frontend development experience with frameworks such as React.js/Angular
- You have backend development experience building and integrating with REST APIs and Databases using languages such as Java Spring, JavaScript on Node.js, Flask on Python
- You have experience with cloud-native technologies, such as Cloud Composer, Dataflow, Dataproc, BigQuery, GKE, Cloud run, Docker, Kubernetes, and Terraform
- You have used cloud platforms such as Google Cloud/AWS for application hosting
- You have used and understand CI/CD best practices with tools such as GitHub Actions, GCP Cloud Build
- You have experience with YAML and JSON for configuration
- You are up-to-date on the latest trends in AI Technology
Great-to-haves
- 3+ years of experience as a data or software architect
- 3+ years of experience in SQL and Python
- 2+ years of experience with ELT/ETL platforms (Airflow, DBT, Apache Beam, PySpark, Airbyte)
- 2+ years of experience with BI reporting tools (Looker, Metabase, Quicksight, PowerBI, Tableau)
- Extensive knowledge of the Google Cloud Platform, specifically the Google Kubernetes Engine
- Experience with GCP cloud data related services ( Dataflow, GCS, Datastream, Data Fusion, Data Application, BigQuery, Data Flow, Data Proc, Dataplex, PubSub, CloudSQL, BigTable)
- Experience in health industry an asset
- Expertise in Python, Java
- Interest in PaLM, LLM usage and LLMOps
- Familiarity with LangFuse or Backstage plugins or GitHub Actions
- Strong experience with GitHub beyond source control
- Familiarity with monitoring, alerts, and logging solutions
- Join us on this exciting journey to make Generative AI accessible to all and create a positive impact with technology