Data Architect

Data Solution Architect Software consultancy Toronto (hybrid) $170-200k + bonus As a Data Solution Architect (Manager), you’ll be responsible for a multi- skilled agile team to design and deliver contemporary data solutions. You will be a quality orientated pragmatist, where you balance trade-offs to successfully deliver complex solutions. You will be viewed as an authority figure for data technology solutions, providing strong technical and thought leadership. You will be responsible for articulating the opportunity and the value it can bring in ways understood by all stakeholders - both business and technical. Successfully implementing functional and non-functional designs Working closely with Ops and Infrastructure architects to productionise robust, resilient, and maintainable data solutions. Working closely with customer architects to agree functional and non-functional designs. Advising, questioning, informing, and helping the customer in making sound solution design outcomes. Working with your peers to develop policy and standards, share knowledge and mentor those around you Managing and estimating timelines underpinning solution delivery Owning technical solution design as part of a pre-sales process and able to sustain key customer relationships with decision makers Broad business and technology understanding of Data & AI landscape and a proven awareness of industry trends Making a significant contribution to the data community and wider data and AI capability Managing, coaching and developing a small number of staff, with a focus on managing employee performance and assisting in their career development. You’ll also provide direction for your team as you solve problems together MINIMUM (ESSENTIAL) REQUIREMENTS: Experience of leading multiple teams as the data solution architect, with ownership of a system of systems Experience in designing, building and productionising modern data-intensive applications including orchestration and operation Broad knowledge of the full spectrum of data technologies (data ingestion, transformation, storage, presentation, consumption) being able to integrate these into successful solutions Strategic design thinking experience, including problem conceptualisation, approach and roadmap definition, architecture realisation and risk management Comfortable with traditional and contemporary data warehousing concepts Experience of deploying data-processing platforms from vendors such as AWS, Azure, GCP, Databricks. Comfortable in one or more of Java, Scala, or Python with the ability to be ‘hands on’ when required. DESIRABLE: Knowledge of wider Data Architecture concepts, for example Master Data Management, Masking, Data Governance, Provenance and Lineage Experience of Technical Evaluation and product selection Comfortable with data integration techniques such as messaging, queuing, change data capture or data virtualisation Domain experience across Healthcare, Government or Commercial sectors Experience designing AI/ML products. Active participant in communities of interest (e.g. online groups, speaking at conferences etc.) Has advised customers on how to improve their data maturity and is able to identify compelling data opportunities Experience in stakeholder management, comfortable challenging decisions when appropriate and tailoring collaboration and communication styles where necessary Familiar with trends in data science and engineering, including techniques, competitors, partners and technology trends Good commercial awareness, always delivering within project constraints Able to work flexibly and to tight deadlines Experience contributing to sales activities (e.g. working on bids, writing sales proposals etc.) Good verbal and written communication skills, with the ability to communicate with a variety of stakeholders.

Lead a multi-skilled agile team to design and deliver contemporary, robust data solutions while providing technical and thought leadership. Act as a bridge between business and technical stakeholders to articulate value and ensure successful functional and non-functional implementation.

Requires extensive experience leading teams as a data solution architect with expertise in modern data-intensive applications and cloud platforms like AWS, Azure, or GCP. Proficiency in Java, Scala, or Python is essential, along with a strong grasp of strategic design thinking and data warehousing concepts.

• Bonus

Identified from the job description. Confirm important requirements above.

• Data Architecture
• Solution Design
• Technical Leadership
• Stakeholder Management
• Cloud Platforms
• Data Engineering
• Agile Methodology
• Pre-sales
• Python
• Java
• Scala
• Data Warehousing
• AI/ML Product Design
• Strategic Design Thinking
• Team Management
• Data Governance

• Data & Analytics
• Technology
• Consulting
• Management & Leadership
• Software

Minimum experience

10+ years

Apply by

Aug 30, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level

Application method

Direct apply is available