Lead Data Engineer - Cloud Data & Enterprise Platforms

Municipal Property Assessment Corporation; Pickering; Hybrid; CAD 111,000 - 132,000; Full time

Job summary

Municipal Property Assessment Corporation seeks a Lead Data Engineer to design and deliver scalable, cloud-based data solutions across Ontario. You will guide data architectures, implement DataOps practices and collaborate with cross-functional teams to drive analytics and AI initiatives.

The role requires 7+ years in enterprise data engineering, strong cloud and programming skills, and a commitment to equity and inclusion within a flexible hybrid work environment.

Qualifications

• Completion of a university degree or college diploma in Computer Science, Data Engineering, Software Engineering, Information Systems or a related discipline, or an equivalent combination of education, training and experience
• Seven (7) years of progressively responsible experience in enterprise data engineering, software engineering or enterprise data platform development, including experience leading complex technical initiatives and providing technical leadership within multidisciplinary teams
• Advanced knowledge of enterprise data engineering principles including data modelling, cloud data platforms and DataOps practices
• Demonstrated ability to establish engineering standards, mentor technical teams and influence enterprise engineering practices
• Experience designing and developing scalable data pipelines, integration frameworks and cloud-native data solutions supporting operational reporting, analytics and AI initiatives
• Strong knowledge of relational and non-relational databases, data architecture, data quality management, metadata, data governance and enterprise integration patterns
• Experience with source control, CI/CD pipelines, DevOps/DataOps and agile delivery methodologies, including GitLab CI/CD pipelines
• Hands-on experience with enterprise cloud data engineering technologies and programming languages such as SQL, Python, Java, Groovy, Spring Boot, Spark, Microsoft Fabric, Databricks, Azure Data Factory, Snowflake, PostGres, AWS data services or comparable enterprise data platforms, including PostgreSQL, Redshift, AWS SQS, AWS S3, RabbitMQ, Kubernetes and Rancher
• Experience using enterprise development and collaboration tools such as Git, Bitbucket, Jira and Confluence
• Knowledge of enterprise architecture principles, cloud computing, information security and privacy, and best practices
• Excellent interpersonal, coaching, relationship management, oral and written communication skills
• Nice to have: Knowledge of data engineering practices supporting advanced analytics, artificial intelligence and machine learning initiatives

Responsibilities

• Provide technical leadership for enterprise data engineering initiatives and resolve complex engineering challenges
• Lead the design, development and optimization of scalable data platforms, pipelines, integration frameworks and migration solutions
• Establish engineering standards, reusable frameworks, automation and DataOps/DevOps practices
• Design and develop OLTP systems that support scalable, reliable and high-performance operational workloads
• Implement data quality, governance, security, metadata, lineage, monitoring and observability practices
• Collaborate with technology teams and business stakeholders to define solutions, manage technical risks and deliver enterprise data capabilities

Skills

Data engineering

Cloud platforms

Data modelling

Leadership

DevOps/DataOps

CI/CD

SQL

Python

Java

Kubernetes

Education

University degree in CS/Engineering or related

Tools

Git

Bitbucket

Jira

Confluence

Job description

Municipal Property Assessment Corporation seeks a Lead Data Engineer to design and deliver scalable, cloud-based data solutions across Ontario. You will guide data architectures, implement DataOps practices and collaborate with cross-functional teams to drive analytics and AI initiatives.

The role requires 7+ years in enterprise data engineering, strong cloud and programming skills, and a commitment to equity and inclusion within a flexible hybrid work environment.