Data Architect

3 weeks ago

Mississauga, Ontario, Canada goeasy Full time

Transform Your Career with goeasy

We are seeking a highly skilled Data Architect to join our team at goeasy, a leading non-prime consumer lender in Canada. As a Data Architect, you will play a crucial role in designing, developing, and maintaining our data architecture on the Azure platform.

Key Responsibilities:

  • Design and implement scalable, reliable, and high-performance data architectures on the Azure Cloud platform.
  • Collaborate with data architects and other stakeholders to define data requirements and architecture standards.
  • Develop end-to-end data pipelines, ensuring efficient and reliable data movement across various stages, from ingestion to consumption.
  • Utilize Azure Data Factory, Azure Databricks, and other relevant services to orchestrate and optimize data workflows.
  • Design and implement data models that support business requirements and enable efficient querying and analysis.
  • Optimize data storage and retrieval processes for performance and cost-effectiveness.
  • Integrate diverse data sources into a unified data platform, ensuring data consistency, accuracy, and reliability.
  • Implement data integration patterns using Azure services such as Azure Data Factory, Azure Logic Apps, and Azure Functions.
  • Ensure compliance with data governance and privacy regulations.
  • Monitor data pipeline performance and proactively identify and resolve bottlenecks or issues.
  • Implement performance tuning strategies to optimize data processing and reduce latency.
  • Document data engineering processes, data flows, and system architecture for knowledge sharing and future reference.

Requirements:

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Proven experience (3+ years) as a Data Engineer, with a focus on Azure Cloud technologies.
  • In-depth knowledge of Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Storage.
  • 3-5+ years experience working with large volumes of data (structured and unstructured).
  • Strong proficiency in programming languages such as Python, SQL, and familiarity with tools like Spark.
  • Hands on experience on designing, developing, and implementing Enterprise Data Warehousing, ETL and real-time/batch data exchanges and working with related technologies such as SSIS, Azure Data Factory, Synapse Spark, Azure DevOps, Databricks.
  • Strong SQL skills, knowledge of RDBMS and Data Lake concepts.
  • Strong knowledge of data warehousing architecture, data mining methodologies and business intelligence.
  • Knowledge of AI and ML developments/solutions/implementations is a plus.
  • Knowledge of data security, compliance, and governance best practices.

What We Offer:

  • A Flexible Work Program that provides you the ability to work three days onsite per week, between our Mississauga and downtown Toronto office.
  • Leverage our RRSP match and Employee Share Purchase Plan programs.
  • Annual bonus that rewards your hard work and dedication.
  • Employee discounts on furniture, electronics, and appliances.
  • MAT & PAT leave top-up.
  • Expand your financial knowledge through engaging Financial Literacy Learning opportunities.

Why Choose goeasy?

We are committed to creating a workplace that is inclusive, diverse, and supportive. Our employees are our greatest asset, and we strive to provide a work environment that fosters growth, learning, and innovation. If you are passionate about data engineering and want to be part of a dynamic team, we encourage you to apply for this exciting opportunity.

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