Data Architect for e-Tolling and Traffic Management

2 months ago


Canada Bronson Technical Search Full time
About the Role

We are seeking a highly skilled Data Architect to play a key role in our e-Tolling project and IT operations. As a Data Architect, you will design and implement a future-proof data architecture for e-Tolling, Traffic Management Systems, and internal platforms.

Responsibilities
  • Design data models for e-Tolling, Traffic Management Systems, and other related systems.
  • Analyze existing data sources and recommend improvements to enhance data quality and accuracy.
  • Plan and design data integration strategies to ensure seamless data flow across systems.
  • Establish and enforce data governance policies and standards to ensure data security and compliance.
  • Design data warehouse architectures for Business Intelligence and reporting.
  • Design data architectures for advanced analytics and machine learning.
  • Oversee and plan data migration strategies to ensure minimal disruption to business operations.
  • Work with stakeholders to understand requirements and align solutions to meet business needs.
  • Document deliverables, including data roadmaps, data models, policies, and other relevant documentation.
  • Facilitate meetings to gather data architecture requirements and ensure stakeholder buy-in.
  • Report progress to the Technical Lead and ensure timely completion of projects.
Qualifications
  • 10+ years' experience in data architecture, engineering, or science.
  • Experience leading complex data architecture initiatives and driving business outcomes.
  • Proven ability to create data architecture diagrams and data flows.
  • Ability to work on-site in Dartmouth, NS.
Experience in:
  • Data architecture roadmaps and data flow mapping.
  • Data modeling and data policies.
  • Data analytics software compatibility assessments.
  • Capability and requirements impact assessments.
  • Business documentation and solution building block diagrams.
  • Data catalogs and data source inventories.
  • Master/reference data documentation and key data definitions.

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