Senior Data Architect
About The Position
AOT Technologies is seeking a Senior Data Architect to join their team. This role involves designing and delivering scalable, modern data platforms for enterprise and public sector clients. AOT Technologies is a boutique consulting firm that partners with enterprises, startups, and governments to solve complex, mission-critical challenges. Their expertise includes business process management, automation and AI, cloud, and application development. They also develop products, such as their flagship platform, formsflow.ai, a low-code solution for workflow automation, and offer products and services under the SLED360 umbrella for state and local governments and the education sector.
Requirements
- 4+ years of hands-on experience with Databricks, including Unity Catalog, Data Ingestion, ETL/ELT pipelines, and Medallion Architecture
- Strong programming experience in Python and SQL
- 5+ years of experience with public cloud platforms (Azure, AWS, or GCP)
- 5+ years of experience as a technical lead or architect, leading engineering teams and coordinating deliveries
- 10+ years of overall experience in software development or IT
- Experience with CI/CD pipelines and Infrastructure as Code (IaC)
- Strong understanding of Agile methodologies and engineering practices
Nice To Haves
- Minimum 1+ year of experience with the Microsoft Data Engineering stack, including Microsoft Fabric, Azure Data Factory, and Lakehouse / OneLake
- Exposure to AI / Machine Learning solutions
- Domain experience in healthcare or financial services domains
- Experience with Power BI, semantic datasets, and Power Query
- Full-stack development experience with Python, Java, .NET Core, and React or Angular
- Experience in data warehouse to lakehouse migration and platform modernization
- Databricks and/or Azure Data Engineer certifications
Responsibilities
- Design and implement scalable data ingestion and transformation pipelines using Databricks and cloud platforms
- Lead architecture decisions for modern data platforms, including Medallion Architecture and Lakehouse patterns
- Build and maintain ETL/ELT pipelines using Python and SQL, following engineering best practices
- Lead and mentor engineering teams, coordinating deliveries and driving technical standards
- Establish and evolve CI/CD pipelines and Infrastructure as Code (IaC) practices for data platforms
- Partner with clients and stakeholders to translate business requirements into scalable data solutions
- Champion data governance, quality, and security using tools such as Unity Catalog
- Contribute to platform modernization initiatives, including Data Warehouse to Lakehouse migrations
- Apply Agile methodologies to plan, iterate, and deliver data engineering projects effectively
Benefits
- Flexible remote work environment with optional hybrid collaboration for candidates located in Victoria, BC
- Continuous learning and leadership development opportunities
- Flexible schedules and generous paid time off
- Competitive health, dental, and wellness benefits from Day 1
- Employer-sponsored deferred profit-sharing plan
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
