Agile Architect

Atlantis IT Group; Toronto; On-site; CAD 100,000 - 125,000; Part time

Job summary

A leading IT consulting firm in Toronto is seeking an experienced Data Architect. The candidate will manage ETL processes, oversee data architecture solutions, and ensure compliance with governance frameworks. The role requires expertise in various database technologies and cloud services. Competitive contract compensation offered.

Qualifications

• Experience in large-scale enterprise environments as a Data Architect or similar role.
• Extensive knowledge of data architecture and hands-on experience.
• Expertise with various database technologies and cloud services.

Responsibilities

• Manage multiple data integration patterns including batch and streaming.
• Oversee CI/CD processes and perform code reviews.
• Ensure compliance with data governance frameworks.

Skills

Data architecture

Data modeling

ETL processes

Azure technology stack

Cloud-based databases

Data governance

CI/CD and DevOps

Tools

SQL Server

MongoDB

Azure Data Factory (ADF)

Databricks

BigQuery

Job description

Role Description

• 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

Seniority level

Director

Employment type

Contract

Job function

Information Technology

Industries

IT Services and IT Consulting