Senior Cloud Data Architect

7 days ago


Canada IT Chapter Full time

The IT Chapter is seeking a Senior Cloud Data Architect to lead the delivery of data on our cloud-native data and analytics platform. This role will be responsible for designing, implementing, and collaborating with stakeholders to achieve the best results for our clients.

Key Responsibilities

  • Data Pipeline Development: Develop and implement batch and real-time data pipelines that align to enterprise data governance standards.
  • Data Modeling: Design and propose data models that conform to requirements, ensuring optimal access and query patterns, data consumption, and adherence to internal architecture standards.
  • Stakeholder Collaboration: Collaborate with various stakeholders across the business, data scientists, and IT to refine data requirements and meet data and analytics initiatives and data consumption needs.
  • Speed and Quality: Increase the overall speed of data onboarding to the Data and Analytics platform and enhance the quality of data pipeline development through DevSecOps.

Required Skills and Qualifications

  • Programming Experience: Strong experience in programming using modern languages such as Scala and expertise in Spark.
  • Cloud Architecture: Experience working with modern data architectures like Azure Data Lake Storage, Azure Databricks, Azure Synapse, and Delta Lakes.
  • Leadership: Proven leadership skills in guiding Data Engineering principles within an organization/team.
  • Database Knowledge: Knowledge and expertise of database modeling techniques, including Data Vaults, Star, Snowflake, and 3NF.
  • Streaming Data: Experience working with streaming data architecture and technologies for real-time processing, including Spark Streaming, Kafka, Flink, and Storm.
  • Database Technologies: Experience working with relational and non-relational database technologies, including SQL Server, Oracle, Cassandra, MongoDB, CosmosDB, and HBase.
  • Source Code Management: Experience working with source code and configuration management environments, such as Azure DevOps, Git, Maven, and Nexus.

Assets:

  • Experience working within the Azure environment.
  • Strong Scala and Spark experience.
  • Experience in modernizing data platforms.
  • 2-3 projects developing Data Vault.


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