Senior Data Architect for AI-Driven Data Platforms

Bits In Glass; Toronto; On-site; CAD 110,000 - 150,000; Full time

Job summary

Bits In Glass is seeking a Senior Data Engineer to join our Delivery Team in Toronto. You will design and implement modern data architectures that enable clients to make data-driven decisions, leading the strategy, design, and technical direction of scalable data ecosystems across cloud platforms.

You'll work closely with business stakeholders, data engineers, and analytics teams to design data solutions aligned with client goals, and mentor peers while ensuring data governance and security

Qualifications

• 5+ years of experience in data architecture, data engineering, or analytics solution design.
• Hands-on experience with data lake and warehouse technologies (Databricks, Snowflake, Redshift, Synapse).
• Strong SQL and programming experience (Python/PySpark, Scala) for complex transformations.
• Deep knowledge of data governance, security, and privacy best practices.
• Proven ability to design, implement, and optimize large-scale ingestion pipelines using Databricks Autoloader.
• Experience with Delta Live Tables and streaming architectures (Kafka, Spark Structured Streaming).
• Familiarity with CI/CD pipelines for Databricks workflows (Azure DevOps, GitHub Actions, GitLab CI).

Responsibilities

• Design end-to-end data architectures, including data lakes, data warehouses, and analytics platforms.
• Define data integration and transformation strategies, ensuring scalability, security, and performance.
• Collaborate with stakeholders to translate business requirements into technical solutions that support analytics, reporting, and AI initiatives.
• Develop data models, ETL/ELT pipelines, and frameworks for structured and unstructured data.
• Provide technical leadership and mentorship to data engineers and developers, promoting best practices in data management and governance.
• Ensure compliance with data governance, security, and privacy standards across platforms.
• Optimize existing data architectures and processes for improved performance and reliability.
• Stay current with industry trends, cloud data services, and emerging technologies such as Databricks, Snowflake, Azure Synapse, and AWS Redshift.
• Act as a trusted advisor to clients, guiding them on architecture decisions and best practices for data modernization.

Skills

SQL

Python/PySpark

Scala

Data Modeling

Data Governance

ETL/ELT

Spark

Cloud Platforms

Education

Bachelor's or Master's in CS/IS/Engineering

Tools

Databricks

Snowflake

Redshift

Synapse

Kafka

Delta Live Tables

Autoloader

Azure DevOps

GitHub Actions

GitLab CI

Spark Streaming

Job description

Bits In Glass is seeking a Senior Data Engineer to join our Delivery Team in Toronto. You will design and implement modern data architectures that enable clients to make data-driven decisions, leading the strategy, design, and technical direction of scalable data ecosystems across cloud platforms.

You'll work closely with business stakeholders, data engineers, and analytics teams to design data solutions aligned with client goals, and mentor peers while ensuring data governance and security