Data Solutions Architect
Toronto, Ontario
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Who are you?We are building upon our achievements at Allied, and the future is exciting. How can we be so sure? We have people like you: engaged professionals who consistently deliver their best.  Throughout your career, you have stood out for your pursuit of excellence. You are self-motivated, take ownership and lead by example. In doing so, you elevate your team and collaborate towards your collective goals.  Above all, you are excited by Alliedâs mission and the contribution we make to enhance cities and communities.
What will you do?
- Architect and design scalable, secure, and robust enterprise data platformsâfrom data lakes to purpose built warehousesâleveraging Microsoft tools (Fabric, Power Platform, Power BI) and AWS (e.g., S3, Glue, Redshift).
- Set the target state architecture, standards, and technology stack, producing roadmaps and reference designs that align with business priorities and data governance.
- Select and implement modern data tools that fit our Microsoft centric ecosystem while remaining cloud agnostic when advantageous.
- Define and enforce vision and standards for documentation, testing, monitoring, and ongoing platform evolution.
- Lead data integration initiatives across Yardi ERP System, Microsoft services (Power Platform, Fabric, SharePoint, Power BI), smart building systems (BAS, access control, IoT), and thirdâparty applications.
- Work with stakeholders to prioritize ingestion pipelines, data governance models, and realâtime analytics capabilities.
- Champion data quality, security, lineage, cataloging, and observability as foundational elements; optimize performance and cost of cloud services.
- Collaborate with the Data Governance committee to enhance data governance frameworks (ownership, access, privacy, retention) and champion data quality and performance.
- Connect our AI investments with curated, trusted data resources, enabling predictive capabilities and smart automation.
- Collaborate across departments, Finance, Leasing, Portfolio Operations, and beyond, to unlock data driven insights and faster decision making.
- Drive innovation by proposing new data products, real time analytics, and self service BI experiences.
- Other duties as assigned.
Data Integration and Engineering
Data Governance, Analytics and AI Enablement
What are we looking for?
- 8+ years designing and implementing enterprise data platformsâdata lakes, warehouses, and large scale pipelinesâand preparing data for advanced analytics and AI workloads.
- Deep expertise with the Microsoft data & AI stack (Fabric, Power Platform, Power BI, Azure data/compute services) with ability to configure AI compute and optimize storage.
- Solid grasp of machine learning fundamentals, large language models (LLMs), and generative AI concepts; able to adapt to meet the requirements of Alliedâs use cases.
- Working knowledge of MLOps practices (versioning, CI/CD, feature stores, model monitoring).
- Advanced SQL and at least one programming language (e.g., Python, Scala).
- Proven track record integrating ERP data, ideally Yardi, or similar real estate/financial systems.
- Proven ability to lead data projects through full lifecycle within a formal PMO/SDLC framework, delivering under Agile, Waterfall, and Hybrid methodologies.
- Basic familiarity with AWS data tooling (S3, Glue, Redshift) considered an asset.
- Strong communication skills to translate business needs into technical and AI driven solutions.
- Experience ingesting and modelling IoT or BAS data (HVAC, access control, sensors).
- Familiarity with Microsoft Power Platform, Fabric, and Power BI semantic modelling.
- Hands on exposure to ML/AI frameworks and MLOps practices.
- Real estate or property management industry experience.
- Professional certifications (e.g., Microsoft Certified: Azure Data Engineer, TOGAF, DAMA DMBOK).
Would be an asset:
* Salary range is an estimate based on our AI, ML, Data Science Salary Index đ°
Tags: Agile Architecture AWS Azure CI/CD Data governance Data pipelines Data quality DMBoK Engineering Finance Generative AI LLMs Machine Learning MLOps Pipelines Power BI Privacy Python Redshift Scala SDLC Security SharePoint SQL Testing TOGAF
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