Please Note: This role is focused on Azure Data Engineering, Data Architecture, and Advanced Analytics . Candidates must have hands‑on experience with Azure Data Factory/Data Lake , Data Warehousing , ETL/ELT pipelines , and Power BI . Experience in Data Governance/MDM and AI‑driven analytics (GenAI) is required.

Role Summary
This role is primarily responsible for developing the Client’s information management foundation to implement the Enterprise Data and Analytics program, operationalizing analytics, and delivering data‑as‑a‑service following industry standard practices and tools including AI.

Duties

Work closely with clients and other resources to effectively communicate, plan, design, and implement solutions for delivering real‑time and AI‑driven insights

Design and build data warehouses and analytics warehouses, for structured and unstructured data

Design and build data architectures to leverage data as an organizational asset

Design comprehensive data solutions that enable clients to appropriately capture, make sense of and action data

Ensure delivered solutions fit within overall project plan and schedule

Provide feedback to departments and create structured documentation, including specifications and weekly status reports

Advise departments on configuration and implementation options based on best practices

Participate in the business requirements gathering process for customizations

Lead/support Process Automation initiatives, for interfacing data structures and for connecting applications

Act as a subject matter expert in data management technologies

Ensure that all implementation methodology deliverables are complete and on time

Perform other tasks related to Data Governance, Master Data Management, Open Data and Database Administration, as required





Troubleshoot reporting, analytics and BI tools, systems and software and performance tune these applications, as necessary

Act as project manager for data/analytics projects including generating project status, time, and expense reports as requested by the management

Other relevant duties as required

Qualifications

Experience related to the duties listed above normally acquired through post‑secondary education in computer science, computer programming or closely related field, and considerable experience in the design and construction of Data Integration Architectures, ETL/ELT pipelines, preferably with Informatica and Azure Data Technologies. Candidates with an equivalent combination of education and experience may be considered.

Using Gen AI to extract and summarize key information from reports, identify trends, patterns and deliver insights

Experience in implementing and supporting Data Governance Frameworks and overall Information Management for structured and unstructured data

Extensive experience with Power BI and/or other data visualization and analytics tools

Progressive experience in the design and deployment of Metadata and Master Data systems for domains like Asset, Customer or Location Master

Knowledge of data integration architectures

Comprehensive Data Lake and Data Warehouse analysis and design experience, with SQL Server/Oracle databases, ESRI GeoDatabase and NoSQL Databases

Ability to analyze business and technical requirements for data lifecycle management and build full stack web applications

Ability to lead projects and team members under limited supervision

Superior organizational and project management skills

Experience working with different SDLC methods including Agile, Scrum, Kanban

Time management skills in a dynamic delivery setting

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📌 Data Engineering & Analytics Specialist (Azure) (Ontario)
🏢 iVedha
📍 Ontario