Senior Data Architect

AOT Technologies$115K — $145K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years hands-on with Databricks and Unity Catalog
  • Strong Python and SQL programming skills
  • 5+ years in public cloud (Azure, AWS, GCP)
  • 5+ years as a technical lead or architect
  • 10+ years of overall IT/software development experience
  • CI/CD and Infrastructure as Code (IaC) experience
  • Strong understanding of Agile methodologies

Responsibilities

  • Design and implement scalable data ingestion and transformation pipelines
  • Lead architecture decisions for modern data platforms
  • Build and maintain ETL/ELT pipelines using Python and SQL
  • Lead and mentor engineering teams in technical standards
  • Establish CI/CD pipelines and Infrastructure as Code practices
  • Partner with clients to translate business needs into data solutions
  • Champion data governance, quality, and security initiatives

Benefits

  • Flexible remote work environment with hybrid options
  • 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
  • Collaborative, mission-driven culture
Full Job Description
Do you thrive when designing elegant solutions for complex data engineering challenges?

Do you enjoy building scalable, cloud-native data platforms that power enterprise decisions?

Do you excel at leading engineering teams and driving architecture strategy from vision to delivery?

Do you care deeply about data quality, governance, and modern best practices?

AOT Technologies is seeking a Senior Data Architect to join our team and help design and deliver scalable, modern data platforms for enterprise and public sector clients.
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
  • 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
Who You Are

You are an experienced data engineering leader who combines deep technical expertise with the ability to lead teams, influence strategy, and deliver enterprise-scale solutions. You're energized by complex data challenges and take pride in building platforms that are reliable, scalable, and well-governed.
Must-Have Skills
  • 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-Have
  • 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
What We Offer
  • 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
Apply Now

If you're passionate about designing scalable, modern data platforms and want to lead impactful work across enterprise and public sector clients, apply today - we're hiring now and excited to meet you.

We strongly encourage candidates of all backgrounds, experiences, and identities to apply, even if they don't meet 100% of the listed criteria. We are seeking candidates with diverse career experiences for this position. If you're passionate about impacting the tech industry and eager to contribute your expertise, we invite you to apply!

Please note that selected candidates must provide official email references from direct project leads or reporting managers and project details including client company name, duration, role, and responsibilities.

Closing date: July 21, 2026 at 12:00 AM PST

Salary Range

$115,000-$145,000 CAD

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