Master Data Manager

Extend Information Systems Inc.; Mississauga; On-site; CAD 95,000 - 115,000; Part time

Job summary

A leading technology firm is seeking a Senior Master Data Management (MDM) Developer with Databricks experience to design and implement scalable MDM solutions. This role requires strong skills in data modeling and collaboration. Candidates should have extensive experience in MDM and familiarity with cloud platforms like Azure. The position offers a salary range of CA$95,000.00 to CA$115,000.00 and is on a contract basis.

Qualifications

• Extensive experience in MDM design, development, and implementation.
• Proven expertise with Databricks platform.
• Good knowledge of SQL and working with large datasets.

Responsibilities

• Design, develop, and maintain Master Data Management (MDM) solutions.
• Build and optimize scalable data pipelines using Databricks.
• Collaborate with teams to gather requirements.

Skills

MDM design, development, and implementation

Databricks, including notebooks, Spark, Delta Lake

Python programming

SQL and working with large datasets

Data governance and data quality

Collaboration and communication

Education

Bachelor’s degree in Computer Science, Information Technology, or related field

Master’s degree (preferred)

Tools

Databricks

Azure Data Factory

Azure Data Lake

Job description

Job Title

Senior Master Data Management (MDM) Developer with Databricks Experience

Job Description

We are seeking an experienced Senior MDM Developer with expertise in Databricks to join our data management team. The ideal candidate will be responsible for designing, developing, and implementing scalable MDM solutions leveraging Databricks and related big data technologies. This role requires strong technical skills, data modeling proficiency, and the ability to collaborate across teams to ensure data integrity, quality, and governance.

Our Challenge: The Senior MDM Developer will face the challenge of designing scalable, high-quality master data solutions in a complex, cloud-based environment while ensuring data integrity, consistency, and compliance across systems. They must effectively address data silos and transformation complexities to enable reliable, strategic insights for the organization.

Key Responsibilities

• Design, develop, and maintain Master Data Management (MDM) solutions to ensure accurate, consistent, and reliable master data across the organization.
• Build and optimize scalable data pipelines and workflows using Databricks on Azure cloud platform.
• Collaborate with data architects, business analysts, and data stewards to gather requirements and translate them into technical solutions.
• Develop and implement data integration processes, data quality rules, and data transformation logic within Databricks environment.
• Create and maintain data models, metadata, and documentation for MDM processes.
• Apply best practices for data governance, security, and compliance within MDM and Databricks ecosystem.
• Perform data profiling, analysis, and troubleshooting to resolve data issues and improve data quality.
• Automate routine tasks and implement continuous improvement initiatives.
• Mentor junior team members and provide technical guidance on MDM and Databricks best practices.
• Stay updated with emerging trends and technologies in MDM, big data, and cloud-based data platforms.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or related field; Master’s preferred.
• Extensive experience in MDM design, development, and implementation.
• Proven expertise with Databricks platform, including notebooks, Spark, Delta Lake, and Spark SQL.
• Strong programming skills in Python.
• Experience with cloud platform such as Azure (Azure Data Factory, Azure Data Lake)
• Familiarity with data modeling, data warehousing, and ETL/ELT processes.
• Understanding of data governance, data quality, and master data concepts.
• Good knowledge of SQL and working with large datasets.
• Excellent problem-solving, communication, and team collaboration skills.

Preferred Qualifications

• Certifications in Databricks (e.g., Databricks Certified Data Engineer) or cloud platforms.
• Experience with other data integration tools and MDM solutions.
• Knowledge of data visualization and reporting tools.

Seniority Level

• Mid‑Senior level

Employment Type

• Contract

Job Function

• Management
• Industries: Financial Services and Banking

Location & Salary

Toronto, Ontario, Canada CA$95,000.00-CA$115,000.00