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Job Description & How to Apply Below
• We are global
Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values‑driven culture, international careers and the chance to shape the future of experience.
The opportunity
At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.
Please note, we are only accepting applicants from the provinces of Ontario, Vancouver and Québec for this role. For Québec-based candidates, fluency in English is necessary because the position entails collaboration with teams based in the rest of Americas and occasionally in Europe.
We are seeking a Principal‑level Data Architect with deepexpertisein enterprise data architecture, AI enablement, andcloud‑nativedevelopmentparadigms . This role goes beyond hands‑on engineering—requiring a leader who can define platform strategy, security posture, influence senior clients, and guide teams across multiple concurrent programs.
In addition to strong capabilities in Microsoft Fabric and Azure, the ideal candidate has experience across either AWS or GCP ,plus Databricks andbroaderunderstandingofmodern data stacks. They must be comfortablesupportingsales pursuits, leading architectural vision, and ensuring the technical integrity of solutions throughout delivery.
To effectively manage this project and the surrounding ecosystem, the ideal candidate bringsdemonstratedhands‑onexpertisein SQL, Python, distributed systems, data governance, and cloud architecture. They should be comfortable guiding clients,scoping and resolving architectural deviations to fit solution requirements, and shaping long‑term data and AI strategy.
Role responsibilities
Architecture & Strategy
Design and own complex, enterprise‑scale data architectures across MSFabric, Azure, GCP, AWS, or Databricks serverless or hosted environments.
Define and enforce architectural standards, patterns, and governance frameworks across ingestion, modeling, lineage, security, and orchestration.
Shape AI‑enabled architecture approaches, including data foundations for ML, feature engineering, andlow-latency operationalization pipelines.
Act as a principal advisor to client technical leadership, helping shape long‑term strategy, roadmaps, and modernization initiatives.
Lead architectural direction during pre‑sales cycles, including solutioning, scoping, estimation, and executive‑level presentations.
Anticipate downstream impacts of architectural decisions;maintain ownership when delivery teams or constraints require deviation from the original design.
Data Engineering Leadership
Architect highly available, distributed, fault‑tolerant data pipelines supporting batch andstreamingworkloads.
Oversee migration and integration of complex, diverse data sources into Fabric, Azure, GCP, or Databricks platforms.
Define medallion/lakehousemodeling patterns across Bronze/Silver/Gold zones or cloud equivalents.
Optimize performance of large‑scale data processing across Spark, Databricks, and Fabric‑native engines.
Provide leadership across 2–3 concurrent projects with variable allocation, ensuring architectural consistency and delivery quality while also contributing to in‑depth technical work where needed.
Technical Execution & Hands‑on Work
Develop advanced transformations, pipelines, and frameworks using SQL, Python, dbt, and Fabric/Databricks cloud‑native tooling.
Implement automation using REST APIs, Data Factory, orchestration services, and multi‑cloud workflow tools.
Guide engineers on distributed architecture, metadata design, data quality frameworks, and platform hygiene.
Conduct root cause analysis on complex platform or performance issues, driving permanent and scalable remediation.
Serve as the senior‑most technical voice in…
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