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Westcore Properties

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Cloud Solutions Architect – Data &amp; AIJob SummaryWe are seeking an experienced Cloud Solutions Architect – Data &amp; AI to design, implement, and optimize modern cloud-native data platforms and AI solutions. This role is responsible for building scalable data architectures, developing AI-powered applications, and establishing secure, governed data environments that enable analytics, automation, and business intelligence. The ideal candidate combines expertise in data engineering, cloud architecture, and enterprise AI technologies with a strong understanding of governance, security, and modern data platform design.Key ResponsibilitiesData Platform Architecture<ul style="margin:0px;padding-left:40px;">
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Design, implement, and maintain cloud-native data platforms using modern data lake and lakehouse architectures.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Develop scalable data ingestion pipelines that integrate structured and unstructured data from multiple enterprise systems.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Design and maintain data models, semantic layers, and governed datasets that support business intelligence and analytics.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Implement data validation, business rules, monitoring, and data quality processes throughout the ingestion lifecycle.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Establish and maintain data governance standards, metadata management, lineage, and documentation.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Optimize cloud-based data infrastructure for scalability, reliability, and performance.</li>
</ul>AI Solutions &amp; Automation<ul style="margin:0px;padding-left:40px;">
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Design, develop, and deploy AI-powered applications, intelligent agents, and natural language interfaces using enterprise AI platforms.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Build Retrieval-Augmented Generation (RAG) solutions utilizing vector databases, semantic search, and large language models (LLMs).</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Develop API integrations and custom connectors to securely access enterprise data sources.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Automate business processes, reporting, notifications, and workflows using modern automation platforms and scripting languages.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Evaluate emerging AI technologies and identify opportunities to improve business operations and user productivity.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Train business users on AI tools, natural language interfaces, and self-service capabilities.</li>
</ul>Security &amp; Governance<ul style="margin:0px;padding-left:40px;">
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Implement role-based access controls and security policies across data and AI platforms.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Ensure AI applications enforce data security, user authorization, and governance standards.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Maintain audit trails, version history, and compliance with organizational data privacy requirements.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Collaborate with IT and security teams to ensure all integrations, pipelines, and AI services align with enterprise governance frameworks.</li>
</ul>Business Intelligence &amp; Collaboration<ul style="margin:0px;padding-left:40px;">
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Partner with analytics and business intelligence teams to define data requirements and optimize reporting solutions.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Support semantic models, dashboards, and analytical datasets consumed by reporting platforms.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Troubleshoot data quality issues and improve upstream data reliability.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Collaborate with business stakeholders to translate business requirements into scalable technical solutions.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Document architectures, integrations, workflows, and operational procedures to ensure long-term maintainability.</li>
</ul>Qualifications<ul style="margin:0px;padding-left:40px;">
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Bachelor's degree in Computer Science, Information Systems, Data Engineering, Data Analytics, or a related technical field.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">3–6 years of experience in data engineering, cloud architecture, analytics engineering, business intelligence, or related disciplines.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Experience designing and deploying production-grade cloud-native data platforms.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Strong understanding of data architecture, data modeling, ETL/ELT processes, and modern analytics ecosystems.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Hands-on experience building AI-powered applications utilizing large language models (LLMs), Retrieval-Augmented Generation (RAG), vector search, or enterprise AI platforms.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Experience developing REST API integrations and workflow automation solutions.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Strong SQL skills with experience designing relational and analytical data models.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Proficiency in Python for data engineering, automation, and API integration.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Experience with version control systems such as Git.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Excellent analytical, communication, and problem-solving skills.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Ability to work independently while collaborating effectively with cross-functional stakeholders.</li>
</ul>Preferred Qualifications<ul style="margin:0px;padding-left:40px;">
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Experience with Microsoft Fabric, OneLake, Azure Data Lake, Databricks, or comparable cloud data platforms.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Experience with Azure OpenAI Service, Azure AI Search, Microsoft Copilot, Copilot Studio, or similar enterprise AI technologies.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Strong knowledge of Power BI, DAX, Power Query, semantic models, and dashboard development.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Experience building workflow automation using Microsoft Power Automate or comparable automation platforms.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Familiarity with enterprise content management platforms, metadata extraction, and document intelligence solutions.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Knowledge of enterprise identity management, role-based access control, and cloud security best practices.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Experience implementing data governance, metadata management, data lineage, and stewardship frameworks.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Industry experience in commercial real estate, finance, or other data-intensive industries is a plus.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Relevant cloud or data platform certifications are preferred.</li>
</ul>Key Competencies<ul style="margin:0px;padding-left:40px;">
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Strong systems thinking with the ability to architect scalable, secure, and maintainable data platforms.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Builder mindset with the ability to move rapidly from concept to production-ready solutions.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Security-first approach to designing AI and data architectures.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Strong documentation practices that ensure solutions are maintainable and transferable.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Collaborative mindset with the ability to work effectively across engineering, analytics, IT, and business teams.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Passion for emerging cloud and AI technologies with a commitment to continuous learning and innovation.</li>
</ul>

Cloud Solutions Architect – Data & AI

Job Summary

We are seeking an experienced Cloud Solutions Architect – Data &
AI to design, implement, and optimize modern cloud-native data
platforms and AI solutions. This role is responsible for building
scalable data architectures, developing AI-powered applications,
and establishing secure, governed data environments that enable
analytics, automation, and business intelligence. The ideal
candidate combines expertise in data engineering, cloud
architecture, and enterprise AI technologies with a strong
understanding of governance, security, and modern data platform
design.

Key Responsibilities

Data Platform Architecture

* Design, implement, and maintain cloud-native data platforms
using modern data lake and lakehouse architectures.
* Develop scalable data ingestion pipelines that integrate
structured and unstructured data from multiple enterprise
systems.
* Design and maintain data models, semantic layers, and governed
datasets that support business intelligence and analytics.
* Implement data validation, business rules, monitoring, and data
quality processes throughout the ingestion lifecycle.
* Establish and maintain data governance standards, metadata
management, lineage, and documentation.
* Optimize cloud-based data infrastructure for scalability,
reliability, and performance.
AI Solutions & Automation

* Design, develop, and deploy AI-powered applications,
intelligent agents, and natural language interfaces using
enterprise AI platforms.
* Build Retrieval-Augmented Generation (RAG) solutions utilizing
vector databases, semantic search, and large language models
(LLMs).
* Develop API integrations and custom connectors to securely
access enterprise data sources.
* Automate business processes, reporting, notifications, and
workflows using modern automation platforms and scripting
languages.
* Evaluate emerging AI technologies and identify opportunities to
improve business operations and user productivity.
* Train business users on AI tools, natural language interfaces,
and self-service capabilities.
Security & Governance

* Implement role-based access controls and security policies
across data and AI platforms.
* Ensure AI applications enforce data security, user
authorization, and governance standards.
* Maintain audit trails, version history, and compliance with
organizational data privacy requirements.
* Collaborate with IT and security teams to ensure all
integrations, pipelines, and AI services align with enterprise
governance frameworks.
Business Intelligence & Collaboration

* Partner with analytics and business intelligence teams to
define data requirements and optimize reporting solutions.
* Support semantic models, dashboards, and analytical datasets
consumed by reporting platforms.
* Troubleshoot data quality issues and improve upstream data
reliability.
* Collaborate with business stakeholders to translate business
requirements into scalable technical solutions.
* Document architectures, integrations, workflows, and
operational procedures to ensure long-term maintainability.
Qualifications

* Bachelor's degree in Computer Science, Information Systems,
Data Engineering, Data Analytics, or a related technical field.
* 3–6 years of experience in data engineering, cloud
architecture, analytics engineering, business intelligence, or
related disciplines.
* Experience designing and deploying production-grade
cloud-native data platforms.
* Strong understanding of data architecture, data modeling,
ETL/ELT processes, and modern analytics ecosystems.
* Hands-on experience building AI-powered applications utilizing
large language models (LLMs), Retrieval-Augmented Generation
(RAG), vector search, or enterprise AI platforms.
* Experience developing REST API integrations and workflow
automation solutions.
* Strong SQL skills with experience designing relational and
analytical data models.
* Proficiency in Python for data engineering, automation, and API
integration.
* Experience with version control systems such as Git.
* Excellent analytical, communication, and problem-solving
skills.
* Ability to work independently while collaborating effectively
with cross-functional stakeholders.
Preferred Qualifications

* Experience with Microsoft Fabric, OneLake, Azure Data Lake,
Databricks, or comparable cloud data platforms.
* Experience with Azure OpenAI Service, Azure AI Search,
Microsoft Copilot, Copilot Studio, or similar enterprise AI
technologies.
* Strong knowledge of Power BI, DAX, Power Query, semantic
models, and dashboard development.
* Experience building workflow automation using Microsoft Power
Automate or comparable automation platforms.
* Familiarity with enterprise content management platforms,
metadata extraction, and document intelligence solutions.
* Knowledge of enterprise identity management, role-based access
control, and cloud security best practices.
* Experience implementing data governance, metadata management,
data lineage, and stewardship frameworks.
* Industry experience in commercial real estate, finance, or
other data-intensive industries is a plus.
* Relevant cloud or data platform certifications are preferred.
Key Competencies

* Strong systems thinking with the ability to architect scalable,
secure, and maintainable data platforms.
* Builder mindset with the ability to move rapidly from concept
to production-ready solutions.
* Security-first approach to designing AI and data architectures.
* Excellent communication skills with the ability to explain
technical concepts to non-technical stakeholders.
* Strong documentation practices that ensure solutions are
maintainable and transferable.
* Collaborative mindset with the ability to work effectively
across engineering, analytics, IT, and business teams.
* Passion for emerging cloud and AI technologies with a
commitment to continuous learning and innovation.

Cloud Solution Architect - Data & AI

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