Data Architect Services

Systematix group; Ottawa; On-site; CAD 120,000 - 150,000; Full time

Job summary

A leading consulting firm in Ottawa is seeking a Senior Data Architect to lead architecture for data management projects. This contract position requires a strong background in data transformation, leadership skills, and experience with DevOps and DataOps methodologies. The successful candidate will work closely with various teams to implement innovative data solutions and manage legacy modernization initiatives.

Qualifications

• Proven track record in leading large-scale data transformation.
• Exceptional skills in coaching and delivering solutions.
• Strong knowledge of CI/CD methods.

Responsibilities

• Provides direction for data product and analytics teams.
• Leads architecture definitions for data management.
• Works collaboratively with governance analysts.

Skills

Expert knowledge in large-scale data management

Coaching and influencing skills

Cross-functional team leadership

Verbal and written communication

Strategic thinking

Education

MBA or University degree in a related field

Tools

CI/CD methods

DevOps

DataOps

Machine Learning/Analytics Ops

Job description

We are Systematix and we are looking for a Senior Data Architect for an upcoming opportunity with a public sector client. This contract is expected to start in October and last until October 2026. The ideal candidate must possess a Reliability level security clearance.

About the Project

This is an opportunity for a results-focused individual service provider with strong interpersonal, influencing, and strategic thinking skills to help mature Data Architecture for the client. This is a unique opportunity.

About the Responsibilities

• Provides thought leadership and technical direction for data product and analytics teams.
• Leads and contributes to:
• 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.
• The design of solution architectures, definition of standards, design patterns, etc. for data & analytics platforms
• The definition of data architecture standards, guidelines, and principles for the enterprise.
• The design of data solution architectures, data models and data flows for transformational and operational initiatives
• 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.
• The development and maintenance the enterprise data model (conceptual and logical) and data lineage
• Reviewing and approving solution designs validating adherence to design patterns and standards
• Monitoring solutions deployed on data and analytics platforms to ensure standards, design patterns and solution architectures are being followed
• Defining remediation plans when uncovering deviant solutions or usage
• Working collaboratively with data governance analysts to ensure data management activities are compliant with governance standards.
• Develops creative solutions, evaluating trade-offs to: minimize investment in legacy platforms and technical debt and 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 Legacy Datamart Modernization, Migration & Decommissioning (LDMMD) initiative: rebuild & replace legacy data marts with modern data pipelines and data products within the Enterprise Data Platform (EDP)

About the Qualifications

• 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

Assets:

• MBA or University degree in a related business field
• Project Management Experience
• Bilingualism in both official languages (English & French)
• Data Management Book of Knowledge (DMBoK)
• Agile training (eg. PMI-ACP, DASM)

At Systematix, our core values—excellence, collaboration, respect, and knowledge as a pursuit—underpin our commitment to fostering an inclusive and equitable environment. We encourage everyone to be their authentic selves, and we are committed to ensuring that our employment decisions are entirely based on job requirements and individual qualifications. We welcome applications from qualified candidates of all backgrounds, including but not limited to race, ethnicity, gender identity or expression, sexual orientation, disability, age, and religious beliefs.