Senior Data Architect

🕒 July 28

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

AOT Technologies

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏢 Enterprise

🤖 Artificial Intelligence

Enterprise • Artificial Intelligence

AOT Technologies is a company dedicated to crafting web and mobile applications that address complex business challenges. They specialize in low-code development platforms and bespoke development services, allowing organizations to improve efficiency, reduce costs, and exploit new market opportunities. AOT offers a variety of services including web application development, mobile app development, custom software development, cloud engineering, and machine learning. Headquartered in Victoria, Canada, the company also has offices in Portland (USA) and Kerala (India).

📋 Description

• 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

🎯 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 • Minimum 1+ year of experience with the Microsoft Data Engineering stack, including Microsoft Fabric, Azure Data Factory, and Lakehouse / OneLake (Nice-to-Have) • Exposure to AI / Machine Learning solutions (Nice-to-Have) • Domain experience in healthcare or financial services domains (Nice-to-Have) • Experience with Power BI, semantic datasets, and Power Query (Nice-to-Have) • Full-stack development experience with Python, Java, .NET Core, and React or Angular (Nice-to-Have) • Experience in data warehouse to lakehouse migration and platform modernization (Nice-to-Have) • Databricks and/or Azure Data Engineer certifications (Nice-to-Have)

🏖️ Benefits

• Salary range of $115K to $145K CAD, commensurate with experience • 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 • A collaborative, mission-driven culture where your work matters