Senior Data Architect

Duration: 12 Months
Location: Remote (Physically present in Canada + EST Time Zone)
Reliability Security Clearance Required.

We are seeking a Senior Data Architect for one of our direct client. The Data Architecture COE plays a key role in enabling client's digital business ambitions. In doing so, we require advanced skills that will help us execute the data strategy, leverage new methods and tools by designing solutions that will move us to a data driven, digital organization. We are looking for Data Architect, who can provide solution direction to achieve the data strategy, evolve our data management and analytics capabilities taking into considerations technical, governance and organizational implications. The resource will have the technical knowledge, strong collaboration, leadership and influencing skills and a solid understanding of how to design innovative solutions. Reporting to the CoE Lead, Data Architecture, Senior Data Architect will also contribute to the ongoing evolution of the data architecture practice.
This is an opportunity for a results-focused individual with strong interpersonal, influencing, and strategic thinking skills to help mature Data Architecture.

• Provides thought leadership and technical direction for data & analytics teams

• Leads and contributes to:
a) The definition of reference architectures for data management & analytics capabilities such as master data management, machine learning/analytics operations (ML/A Ops), data quality management, metadata management, etc
b) The design of solution architectures, definition of standards, design patterns, etc. for data & analytics platforms
c) The definition of data architecture standards, guidelines, and principles for the enterprise
d) The design of data solution architectures, data models and data flows for transformational and operational initiatives
e) The execution on Proof of Concepts (PoC) or Proof of Technology (PoT) using a design thinking approach to ensure desirability, feasibility, and viability of architectural components
f) The development and maintenance the enterprise data model (conceptual and logical) and data lineage

• Fulfills data architecture governance functions by:
a) Reviewing and approving solution designs validating adherence to design patterns and standards
b) Monitoring solutions deployed on data and analytics platforms to ensure standards, design patterns and solution architectures are being followed
c) Defining remediation plans when uncovering deviant solutions or usage
d) Working collaboratively with data governance analysts to ensure data management activities are compliant with governance standards.

• Develops creative solutions, evaluating trade offs to:
a) Minimize investment in legacy platforms and technical debt
b) Maximize time to value taking a minimal viable product (MVP) approach while ensuring transition to target future state

• Works closely with other domain architects (i.e. integration, cloud, security, solution, etc.) and project delivery teams to drive alignment with the design decisions made and ensure consistency of implementations with architecture principles and standards
• Documents and publishes architectural artifacts and mentor the delivery teams to incorporate them in their Agile delivery practices
• Defines innovative migration and conversion strategies by leveraging existing technology platforms and capabilities
• Performs benchmarking exercises to optimize performance of data & analytics platforms
• Keeping current with new emerging technologies, develops platform roadmaps to mature the technical stack towards improving operational outcomes and meeting business evolving needs
• Champions and presents the technical vision to the executive team and business stakeholders
• Works closely and collaboratively with database administration, data quality, data engineering, technology platform and infrastructure teams to optimize the overall operations of data management and analytics activities
• Manages and delivers work using agile methodologies (i.e. Kanban, Scrum, etc.)
• Support i-086 – Data Standardization: Database Migration & Decommissioning: rebuild & replace legacy data marts with modern data pipelines and data products within the Enterprise Data Platform (EDP)
• Azure Databricks, Azure SQL Synapse, Microsoft Purview, Denodo, Infosphere Data Architect \ Erwin \ ER/Studio, Azure DevOps (Agile/Kanban), Informatica MDM
• Architecture Knowledge Management - Architecture Decision Records Management, Reference Architecture, Design Patterns

• In depth expert knowledge with a track record of successful results on leading large-scale data management/transformation programs
• Exceptional skills in coaching, influencing, and driving cross-functional teams, and delivering solutions in a highly complex, dynamic and nebulous environment
• Excellent verbal and written communication, critical and strategic thinking, time management, priority planning and interpersonal skills
• Knowledge of Continuous Integration / Continuous Delivery (CI/CD) methods
• Strong knowledge of DevOps, DataOps, Machine Learning/Analytics Ops

• MBA or University degree in a related business field
• Project Management Experience
• Bilingualism in both official languages (English & French)
• Experience in various data technologies such as Azure Data Factory, Synapse, Databricks, ADLS, PowerBI, Denodo, SQL Server/Oracle DBMS, Azure Purview, IBM Infosphere (IGC, DataStage, Data Architect, etc.), Azure Event Hub/Grid, Spark, Azure Databricks, Cognos Analytics, SAS Viya, Azure Portal, Office 365, ERWin/ER Studio, Informatica MDM
• Data Management Book of Knowledge (DMBoK)
• Agile training (eg. PMI-ACP, DASM)

We thank you for visiting the job page. Only candidates closely matching the requirement will be contacted for interview. Wishing you all the best in your job search.

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