greenhouse
Senior Data Architect
AOT Technologies
Remote, CAN
Full-time
Senior · 10+ years experience
Remote
CAD 115000-145000 yearly / year
Discovered 3 weeks ago
DatabricksUnity CatalogMicrosoft FabricAzure Data FactoryOneLakePower BI
Free
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DatabricksUnity CatalogMicrosoft Fabric
Key Skills for This Role
DatabricksUnity CatalogMicrosoft FabricAzure Data FactoryOneLakePower BI
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About AOT
We’re on a mission to help enterprises and governments bring their ideas to life.
As a boutique consulting firm, we partner with enterprises, startups, and governments to solve complex, mission-critical challenges. Our expertise spans business process management, automation and AI, cloud, and application development. Our teams are collaborative, our leadership is transparent, and our work is impactful.
Alongside our consulting practice, we’re product builders: our flagship platform, formsflow.ai, is a low-code solution that simplifies complex form creation, approvals, and workflow automation, helping organizations move faster without sacrificing quality or compliance. Under the SLED360 umbrella, we deliver products and services tailored to the unique needs of state and local governments and the education sector, from modern case management to digital services. Our product offerings reflect our entrepreneurial spirit and firsthand experience solving real-world problems with scalable, human-centered technology.
As we expand into new markets and scale our solutions, there’s never been a better time to join AOT.
Role and Responsibilities
- As a Senior Data Architect, you will design and implement scalable, cloud-native data platforms for enterprise and public sector clients. You will lead engineering teams, drive architecture decisions, and deliver modern data solutions using Databricks, Microsoft Fabric, and leading cloud technologies.
- You will:
- 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
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