Data Engineer Manager

Job title: Data Engineer Manager

Company: VDart Inc


Job description: Role: Data Engineer ManagerLocation: Montreal, QC (Day 1 Onsite; 3 Days a week)Type: ContractKey Responsibilities:

• Will help lead the development and articulate long-term strategic goals for data architecture vision and establish data standards for Non-Financial Risk systems and processes
• Will support the management of NTT DATA’s resources, providing oversight, guidance and SME inputs.
• Will coordinate between Non-Financial Risk business stakeholders and technical teams.
• Develop and articulate long-term strategic goals for data architecture vision and establish data standards for enterprise systems.
• Utilize various cloud technologies, including Azure, AWS, GCP, and data platforms like Databricks and Snowflake.
• Conceptualize and create an end-to-end vision outlining the seamless flow of data through successive stages.
• Institute processes for governing the identification, collection, and utilization of corporate metadata, ensuring accuracy and validity.
• Implement methods and procedures for tracking data quality, completeness, redundancy, compliance, and continuous improvement.
• Evaluate and determine governance, stewardship, and frameworks for effective data management across the enterprise.
• Develop comprehensive strategies and plans for data capacity planning, data security, life cycle data management, scalability, backup, disaster recovery, business continuity, and archiving.
• Identify potential areas for policy and procedure enhancements, initiating changes where required for optimal data management.
• Formulate and maintain data models and establish policies and procedures for functional design.
• Offer technical recommendations to senior managers and technical staff in the development and implementation of databases and documentation.
• Stay informed about upgrades and emerging database technologies through continuous research.
• Collaborate with project managers and business leaders on all projects involving enterprise data.
• Document the data architecture and environment to ensure a current and accurate understanding of the overall data landscape.
• Design and implement data solutions tailored to meet customer needs and specific use cases.
• Provide thought leadership by recommending the most suitable technologies and solutions for various use cases, spanning from the application layer to infrastructure.

Basic Qualifications:

• 8+ years of hands-on experience across Data Management, Data Engineering, Data Architecture
• 5+ years of SQL, Python, and Excel experience
• 2+ years of Financial Services experience (industry or FS management consulting)
• 2+ years of Data Visualization experience (Power BI and/or Tableau)
• 2+ years of experience managing an offshore team
• 2+ years of experience with Cloud-based systems (Azure, AWS, or GCP)
• 2+ years of Enterprise Data Architecture experience (such as end to data sourcing, pipeline ETL/ELT process, curation, data quality)
• 2+ years of experience driving end-to-end technology solutions.
• Ability to travel at least 25%.

Preferred Skills:

• Possess certifications in AWS, Azure, and GCP to complement extensive hands-on experience.
• Demonstrated expertise with certifications in Snowflake.
• Hands-on experience with data science (AI/ML/Gen AI)
• Hands-on experience with MDM, DQ, DG tools (e.g., Collibra, Informatica, Alteryx, Microsoft Purview, etc.)
• Experience using R (or similar tools)
• Valuable “Big 4” Management Consulting experience or exposure to multiple industries.
• Undergraduate or graduate degree preferred.

Expected salary:

Location: Montreal, QC

Job date: Sat, 22 Mar 2025 23:14:16 GMT

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