Data Architect/Modeller – Senior (Azure Databricks,BI Data Architect,ADF)

Toronto, ON, Canada

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Arthur Grand Technologies Inc

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Company Description

Arthur Grand Technologies (www.arthurgrand.com) is in the business of providing staffing and technology consulting services. We have doubled our revenue year over year for the past 5 years. This speaks to the long-lasting relationship and customer satisfaction that we have built in this short span of time. Our company is managed by a team of professionals who worked for big 5 consulting firms for 20+ years. 

We are a minority owned staff augmentation and technology consulting company
To keep our valued employees, we need to keep them engaged in challenging, interesting work, offer market-relevant benefits and provide continued opportunities for professional growth.

Job Description

 

Position: Data Architect/Modeller – Senior 

Location: Toronto, Ontario (Hybrid)

Hybrid - 3 days on site and 2 days remote

Duration: Long Term Contract

 

 

MUST HAVES:

Experience and Skill Set Requirements

Data Modeler Requirements:

  • 7+ years BI Data Architect experience in enterprise applications and solutions design/development and related with data warehousing, data lake implementations and dimensional modelling.
  • Collect business-level questions and propose approaches to address business needs and provide data insights.
  • Expand documentation and knowledge of business processes relative to available data to provide contextual guidance for operation/project, reporting and insights generation.
  • Ability to design and articulate complex technical concepts into executable development work packages.
  • Knowledge of BI tools for metadata modeling and report design (e.g. Power BI)
  • MS SQL Server Technology, Azure Data Lake, Azure Databricks
  • Expert knowledge developing data warehouse solutions on MS Stack (Azure Data Lake, SQL, ADF, Databricks, PowerBI) to store and retrieve centralized information. Experience designing the data warehouse using dimensional and delta lake concepts.
  • Create/maintain enterprise data model and data dictionary. Help development team to optimize database performance. Coordinate with the Integration department to identify future needs and requirements.
  • Extensive knowledge of data modelling tools (e.g. SAP PowerDesigner, Visio)
  • Review, install and configure information systems to ensure functionality and security. Analyze structural requirements for new data warehouse and applications
  • Experience using Oracle database server and tools, PL/SQL for development of Business Intelligence applications.
  • Demonstrated skills in writing SQL stored procedures and packages for datamarts and reporting.
  • Demonstrated experience in Azure DevOps
  • Demonstrated experience in performance tuning of Business Intelligence applications, including data model and schema optimization

Skills:

  • 7+ years in data modelling and data warehouse design (Must Have)
  • 2+ years Azure Data Lake and Azure Databricks SQL Warehouse (Must Have)
  • 5+ years SQL (Must Have)

Assets:

  • Knowledge of Curam IBM COTS solutions (Social Assistance Management System)
  • ETL design concepts
  • Knowledge of Enterprise Architecture tools and frameworks (ArchiMate, TOGAF, Zachmann)

Evaluation Criteria:

Design Documentation and Analysis Skills (30 points)

  • Demonstrated experience in creating both Functional Design Documents (FDD) & Detailed Design Documents (DDD). –
  • Experience in Fit-Gap analysis, system use case reviews, requirements reviews, coding exercises and reviews.
  • Experience in the development and maintaining a plan to address contract deliverables, through the identification of significant milestones and expected results with weekly status reporting.
  • Work with the Client & Developer(s) assigned to refine/confirm Business Requirements
  • Participate in defect fixing, testing support and development activities for ETL pipelines. Assist with defect fixing and testing support for PowerBI reports.
  • Analyze and document solution complexity and interdependencies

BI Data Modelling and Technical Skills (40 points)

  • Understanding of Data Modelling for Business Intelligence including:

a. Expert Knowledge of data warehouse design methodologies, delta lake and dimensional modeling in particular

b. Understanding of Extract/Transform/Load processes to transform data for reporting/BI purposes

c. Ability to define schema for reporting databases

d. Experience with advanced modeling tools

  • Knowledge of BI tools for metadata modeling and report design (e.g. PowerBI, Cognos)
  • Good knowledge and experience in MS SQL Server technology, Azure Databricks SQL Warehouse, Azure Data Lake
  • Experience using T-SQL, PL/SQL for development of Business Intelligence applications. Demonstrated skills in writing and reverse engineering SQL stored procedures and packages for datamarts and reporting.
  • Demonstrated experience in performance tuning of Business Intelligence applications, including data model and schema optimization

Quality Assurance (20 points)

  • Demonstrated experience in defining and executing tests across the development lifecycle (unit testing, system testing, user acceptance testing) and using results to refine database design

Knowledge Transfer (10 points)

  • The Architect / Modeler must have previous work experience in conducting Knowledge Transfer and training sessions, ensuring the resources will receive the required knowledge to support the system. The resource must develop learning activities using review-watch-do methodology & demonstrate the ability to prepare and present.
  • Development of documentation and materials as part of a review and knowledge transfer to other members
  • Development of specific activities as part of a review (hand over to ministry staff)and building block approach which, build on knowledge transfer and skills development from the previous stage to the next
  • Development and facilitation of classroom based or virtual instructor demo led sessions for developers

Additional Information

All your information will be kept confidential according to EEO guidelines.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Architecture Azure Business Intelligence Consulting Databricks Data warehouse Data Warehousing DevOps Engineering ETL MS SQL Oracle Pipelines Power BI Security SQL Testing TOGAF T-SQL

Perks/benefits: Career development Team events

Region: North America
Country: Canada
Job stats:  6  1  0

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