Data Modeling Lead

2 months ago

Old Toronto, Ontario, Canada Cpus Engineering Staffing Solutions Inc. Full time

About the Role

We are seeking a highly skilled Data Modeling Lead to join our team at Cpus Engineering Staffing Solutions Inc. as we embark on a major SAP SuccessFactors Employee Central implementation project.

Key Responsibilities

  • Develop and maintain data models, ensuring data quality, consistency, accuracy, and completeness throughout the data lifecycle.
  • Implement data governance frameworks, methodologies, and controls to ensure strict compliance with business standards.
  • Collaborate with stakeholders to process and comprehend intricate business processes and requirements.
  • Lead expertise in data governance tools, cloud computing, and technical architecture.
  • Design, develop, test, deploy, and maintain scalable, reliable, secure, and efficient data pipelines.
  • Manage, mentor, and cultivate a team of application data modelling specialists and developers.
  • Communicate effectively, facilitate workshops, and enforce compliance with policies.
  • Establish and execute the data migration roadmap, aligning with line of business visions and priorities.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field, or equivalent work experience.
  • 8+ years of hands-on experience in data integration, data management, or related roles, with a substantial 3+ years in a leadership or management capacity.
  • Relevant certifications in SAP SuccessFactors or related areas an asset.
  • Demonstrate understanding in a spectrum of data tools and technologies, including SQL, Python, Spark, Kafka, Azure, DBT, Databricks, PowerBI, and more.
  • Expertise in data architecture, modeling, design, security, and optimization principles and practices.
  • Demonstrate proficiency in data mapping, data integration, and configuration.
  • Understanding and hands-on experience in master data, data preparation, data quality, cleaning, and validating practices.
  • Proven track record of delivering intricate and impactful data solutions in a dynamic, fast-paced, and agile environment.
  • Excel in communication, collaboration, problem-solving, and decision-making skills.
  • Display a genuine passion for data and innovation, coupled with a strong desire for continuous learning and growth.

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