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Data Architect

2 months ago

Toronto, Ontario, Canada Guidepoint Full time

Guidepoint is a leading research enablement platform dedicated to advancing understanding and empowering clients' decision-making processes. We leverage innovative technology, real-time data, and hard-to-source expertise to help our clients turn answers into action.

Our Technology team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new AI-enabled products to optimize the seamless delivery of our services.

We are seeking a talented Data Engineer to join our Toronto-based Data/AI team. This strategic investment is integral to Guidepoint's vision for the future, aiming to develop cutting-edge Generative AI and analytical capabilities that will underpin Guidepoint's Next-Gen research enablement platform and data products.

Your Day-to-Day Will Include:
  • Design and development of systems for the maintenance of the Azure Lakehouse, ETL processes, business intelligence and data ingestion pipelines for AI/ML use cases.
  • Create and support ETL pipelines and table schemas in order to facilitate the accommodation of new and existing data sources for the Lakehouse on Databricks.
  • Maintain data governance and data privacy standards.
  • Collaborate with data architects, data scientists, analysts and other business consumers to quickly and thoroughly analyze business requirements to populate the data warehouse, optimized for reporting and analytics.
  • Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Minimum Qualifications:
  • 3+ years of related experience with a Bachelor's degree or a PhD with 1 year experience.
  • Advanced working SQL knowledge and experience working with relational and NoSQL databases, query authoring (SQL) as well as working familiarity with a variety of databases (e.g. SQL Server, Neo4J, Elastic, Cosmos).
  • Experience building and optimizing data pipelines on Azure Databricks.
  • In depth knowledge and hands-on experience with Data Engineering, Data Warehousing and Delta Lake on Databricks.
  • Highly proficient in Spark, Python, SQL
  • Working knowledge of Fivetran is a bonus.
  • A successful history of manipulating, processing and extracting value from data.
  • Strong analytical and problem-solving skills.
Preferred Qualifications:
  • Experience with cloud computing platforms (e.g., Azure, AWS).
  • Knowledge of big data technologies (e.g., Hadoop, Spark).
  • Familiarity with data visualization tools (e.g., Power BI, Tableau).