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Sr. Data Engineer at Bits In Glass — Toronto, CAN | Base Career | Base Career
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Sr. Data Engineer
Toronto
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Search jobs like thisB Sr. Data Engineer Data architecture Data engineering Data lakes Data warehouses Databricks Snowflake +6 more
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Key skills for this role
Data architecture Data engineering Data lakes
Smart ApplySummary Full job posting Company Role Overview Bits In Glass is seeking a Senior Data Engineer for its Delivery Team.
The role focuses on modern data architectures that support client data-driven decisions across cloud platforms.
The position involves collaboration with business stakeholders, data engineers, and analytics teams.
Key Skills for This Role Data architecture Data engineering Data lakes Data warehouses Databricks Snowflake +6 more
Full Job Posting Role overview Bits In Glass is seeking a Senior Data Engineer for its Delivery Team.
The role focuses on modern data architectures that support client data-driven decisions across cloud platforms.
The position involves collaboration with business stakeholders, data engineers, and analytics teams.
Responsibilities Design and implement data lakes, data warehouses, analytics platforms, and end-to-end data architectures. Define scalable, secure, and performant data integration and transformation strategies. Translate business requirements into solutions for analytics, reporting, and AI initiatives. Develop data models, ETL/ELT pipelines, and frameworks for structured and unstructured data. Lead and mentor data engineers and developers while promoting data management and governance practices. Ensure data governance, security, and privacy standards are followed across platforms. Optimize existing architectures and processes for performance and reliability. Stay current with cloud data services and technologies including Databricks, Snowflake, Azure Synapse, and AWS Redshift. Advise clients on architecture decisions and data modernization best practices. Required skills and experience
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Key skills for this role
Data architecture Data engineering Data lakes
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More jobs at Bits In Glass
5+ years of experience in data architecture, data engineering, or analytics solution design.
Hands-on experience with data lake and warehouse technologies such as Databricks, Snowflake, Redshift, or Synapse.
Deep understanding of data modeling, data integration, and ETL/ELT design.
Proficiency in SQL and PySpark/Python or Scala for complex Spark transformations and optimization.
Understanding of data governance, security, and privacy best practices.
Experience with Databricks Autoloader, Delta Live Tables, streaming ingestion, and Medallion architecture.
Experience implementing CI/CD pipelines for Databricks workflows, notebooks, and cluster configurations.
Experience migrating traditional data warehouses to the Databricks Lakehouse.
Working knowledge of AWS or Azure data storage, networking, and security concepts.
Ability to engage clients, present technical solutions, and communicate complex ideas clearly.
Bachelor’s or master’s degree in computer science, information systems, engineering, or a related field.
Strong problem-solving, communication, and collaboration skills. Preferred qualifications Experience integrating AI and machine learning with data science workflows. Knowledge of data cataloging and metadata management tools. Prior consulting or client-facing experience in a technology services firm. About Bits In Glass Bits In Glass is a cloud consulting firm working across business applications, data, process, cloud, and AI technologies.
The company serves clients in Canada, the United Kingdom, India, and the United States.
Its stated technology portfolio includes Pega, Appian, MuleSoft, and Boomi.
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