Data Architect

Data Architect

Toronto

Data Architect Job Description

As a Data Architect, you'll work as part of a team of problem solvers, helping to solve business issues, deliver high quality client service and operational efficiency. Responsibilities include but are not limited to :

Contribute data engineering and architecture expertise to firm projects and technologies initiatives. (ie. enterprise applications, GenAI, LLM, MLOps, etc.)

Create deployment and modernization strategies for enterprise-wide digital transformations, particularly for the transition of legacy data to new systems and platforms

Demonstrated leadership experience with an ability to manage multiple initiatives at once

Experience in the development of enterprise data architecture strategies and roadmaps for internal projects (including linked business cases) with a specific focus on the following :

Developing robust data models and dictionaries to manage internal data

Supporting data security initiatives with an understanding of data classification guidelines

Data technology architectures and solution options aligned to technology strategy and priority data use cases

Oversight of data engineering and operation tasks supporting firm projects and operational activities

Experience in development and execution of data programs working closely with stakeholders across functional teams

Ability to break down complex problems, question assumptions and be comfortable making high impact decisions with limited information and some degree of uncertainty

Experiences and skills you'll use to solve

Experience as a Data Architect, Data Engineering manager or similar role, preferably in a large-scale enterprise environment

Extensively in large scale data architecture, data modeling and implementation with hands-on experience

Expertise with modern data architecture and platforms, experience with a variety of database technologies, including relational databases (e.g., SQL Server, Oracle, MySQL), NoSQL databases (e.g., MongoDB, CosmosDB, Cassandra), and cloud-based database services (e.g., Azure SQL Database, Databricks, BigQuery, Snowflake, Amazon RDS)

Manage multiple data integration / ETL patterns : batch, streaming, API / microservices

Understanding of implementation of architecture using Azure data technology stack

Hands-on experience with data integration tools (e.g., ADF, Synapse, Databricks) and ETL development

Proficiency in designing conceptual, logical, and physical data models to represent organizational data assets and facilitate efficient data storage, retrieval, and analysis

Knowledge of data governance frameworks, policies, and best practices to ensure data quality, integrity, security, and compliance with regulatory requirements

Oversee CI / CD & DevOps, perform code reviews

Experience with GenAI / LLM and MLOps / AIOps technologies are nice to have