25-053 Data Architect

Job Description 25-053 Data Architect

Resume Due Date: Monday, April 14, 2025 (5:00PM EST)
Number of Vacancies: 1
Level: MP6
Hourly Rate: $85 - $100/hour
Duration: 12 Months
Hours of work: 35
Location: 889 Brock Road, Pickering (Hybrid – 4 days remote)

Job Overview

As a Data Architect, you will be responsible for leading the Azure architecture, design, and delivery of data models and data products which enable innovative, customer-centric digital experiences. You will be working as part of a cross-discipline agile team who helps each other solve problems across all business areas. You will be a thought leader and subject matter expert on data lake & data warehousing and modeling activities for the team and use your influence to ensure that the team produces best-in-class data solutions that leverage repeatable, maintainable, and well-documented design patterns. You will employ best practices in development, security, accessibility, and design to achieve the highest quality of service for our customers.

Job Duties

• Lead the architecture, design, and oversee implementation of modular and scalable data ELT/ETL pipelines and data infrastructure on Azure and Databricks leveraging the wide range of data sources across the organization.
• Design curated common data models that offer an integrated, business-centric single source of truth for business intelligence, reporting, and downstream system use.
• Work closely with infrastructure and cyber teams to ensure data is secure in transit and at rest.
• Create, guide, and enforce code templates for delivery of data pipelines and transformations for structured, semi-structured, and unstructured data sets.
• Develop modeling guidelines that ensure model extensibility and reuse by employing industry standard disciplines for building facts, dimensions, bridge, aggregates, slowly changing dimensions, and other dimensional and fact optimizations.
• Establish standards database system fields, including primary and natural key combinations that optimize join performance in a multi-domain, multiple subject area physical (structured zone) and semantic model (curated zone).
• Transform data and map to more valuable and understandable semantic layer sets for consumption, transitioning from system-centric language to business-centric language.
• Collaborate with business analysts, data scientists, data engineers, data analysts, and solution architects to develop data pipelines to feed our data marketplace.
• Introduce new technologies to the environment through research and POCs and prepare POC code designs that can be implemented and productionized by developers.
• Work with tools in the Microsoft Stack; Azure Data Factory, Azure Data Lake, Azure SQL Databases, Azure Data Warehouse, Azure Synapse Analytics Services, Azure Databricks, Microsoft Purview, and Power BI.
• Work within the agile SCRUM work management framework in delivery of products and services, including contributing to feature & user story backlog item development, and utilizing related Kanban/SCRUM toolsets.
• Document as-built architecture and designs within the product description.
• Design data solutions that enable batch, near-real-time, event-driven, and/or streaming approaches depending on business requirements.
• Design & advise on orchestration of data pipeline execution to ensure data products meet customer latency expectations, dependencies are managed, and datasets are as up-to-date as possible, with minimal disruption to end-customer use.
• Ensure that designs are implemented with proper attention to data security, access management, and data cataloging requirements.
• Approve pull requests related to production deployments.
• Demonstrate solutions to business customers to ensure customer acceptance and solicit feedback to drive iterative improvements.
• Assist in troubleshooting issues for datasets produced by the team (Tier 3 support), on an as-required basis.
• Guide data modelers, business analysts, and data scientists in the build of models optimized for KPI delivery, actionable feedback/writeback to operational systems and enhancing the predictability of machine learning models and experiments.
• Develop Bicep or Terraform templates to manage Azure Infra as code.
• Perform hands-on data engineering work to build data ingestion and data transformation pipelines.

Qualifications

Education

• Requires an extensive knowledge in designing a data model to solve a business problem, specifying a data pipeline design pattern to bring data into a data warehouse, optimizing data structures to achieve required performance, designing low-latency and/or event-driven patterns of data processing, creation of a common data model to support current and future business needs.
• This knowledge is considered to be normally acquired through the completion of a four-year University education in computer science, computer/software engineering, or other relevant programs within data engineering, data analysis, artificial intelligence, or machine learning.

Experience

• Experience guiding data lake ingestion and data modeling projects in the Azure cloud environment; experience in modeling relational and in-memory models with star/snowflake schemas; experience with designing and implementing event-driven (pub/sub), near-real-time, or streaming data solutions, involving structured, semi-structured, and unstructured data across various platforms.
• A period of over 6 years and up to and including 8 years in data modeling, data warehouse design, and data solution architecture in a Big Data environment is considered necessary to gain this experience.