Agile Architect

Atlantis IT Group; Toronto; On-site; CAD 100,000 - 150,000; Full time

Job summary

A leading IT services company is seeking a Data Architect to lead data architecture initiatives. The ideal candidate will have extensive experience in data modeling, integration, and governance in large-scale environments. This role requires hands-on expertise with cloud technologies and the ability to manage multiple data integration patterns.

Qualifications

• Experience in large-scale enterprise environments as Data Architect or similar role.
• Proficiency in modern data architecture and platforms including SQL and NoSQL databases.
• Hands-on experience with data integration tools and governance frameworks.

Responsibilities

• Design and implement data architecture and data models.
• Oversee data integration processes including ETL and CI/CD practices.
• Ensure compliance with data governance and security standards.

Skills

Data Architecture

Data Modeling

ETL Development

Data Integration

Cloud Database Services

Data Governance

DevOps

GenAI/LLM Knowledge

Tools

Azure Data Technology

ADF

Databricks

Synapse

Job description

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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

• Seniority level

  Director

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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