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Data Architect

3 weeks ago
Canada
Full-time
Lead
Data Architect
Data Science and Analytics
Apache Airflow Apache Spark AWS Azure Databricks dbt GCP GraphQL Hive Impala Linux Microservices Power BI Prefect Python REST API Serverless SQL Tableau
Apply Now
Valtech

Valtech

Valtech is a global business transformation company specializing in technology, marketing, and experience design to help clients innovate, connect with consumers, and optimize ROI.

Professional Services
5K-10K
Founded 1993
View All Jobs 83

Description

  • Design and own enterprise-scale data architectures across Microsoft Fabric, Azure, AWS, GCP, and Databricks environments.
  • Define and enforce architectural standards, governance frameworks, and patterns across ingestion, modeling, lineage, security, and orchestration.
  • Shape AI-enabled architecture approaches, including data foundations for ML, feature engineering, and low-latency operationalization pipelines.
  • Advise client technical leadership on long-term strategy, roadmaps, and modernization initiatives.
  • Lead architectural direction during pre-sales cycles, including solutioning, scoping, estimation, and executive presentations.
  • Oversee migration and integration of complex data sources into cloud data platforms.
  • Architect highly available, distributed, fault-tolerant batch and streaming data pipelines.
  • Develop advanced transformations, pipelines, and frameworks using SQL, Python, dbt, and cloud-native tooling.
  • Implement automation using REST APIs, Data Factory, orchestration services, and multi-cloud workflow tools.
  • Mentor engineers, Tech Archs, PMs, and junior architects while supporting architecture reviews and cross-functional planning.

Requirements

  • 10+ years of experience in data engineering, data architecture, or platform engineering.
  • Experience designing or building enterprise data platforms on at least one of Azure, GCP, or AWS, and Databricks.
  • Deep expertise in SQL, Python, distributed data processing, and cloud-native data design.
  • Significant experience with medallion/lakehouse architecture patterns.
  • Strong knowledge of modern data platforms such as Databricks, Azure Synapse, Microsoft Fabric, Delta Lake, and BigQuery.
  • Proven experience leading architecture across large programs and multiple concurrent projects.
  • Experience with enterprise automation and integration using REST APIs.
  • Strong communication skills and ability to engage confidently with senior leadership and clients.
  • Experience in pre-sales, technical solutioning, or client-facing architecture leadership.
  • Must be based in Ontario, British Columbia, or Québec; Québec-based candidates must have fluency in English.
  • Experience building AI-enabled data architectures and ML data pipelines is preferred.
  • Familiarity with Tableau, Power BI, and Fabric reporting tools is preferred.
  • Experience with Spark, Hive, Impala, and other big data frameworks is preferred.
  • Experience with pipeline automation tools such as Airflow, Azure Data Factory, or Prefect is preferred.
  • Experience leading technical teams and managing data, analytics, or ML projects is preferred.

Benefits

  • Annual salary range of $180,000–$250,000 CAD, depending on experience and location.
  • Comprehensive insurance plan with Gold, Silver, or Bronze options and up to 80% employer contribution.
  • Short- and long-term disability coverage included in the insurance plan.
  • Virtual healthcare, employee and family assistance program, and mental health support program.
  • $500 personal spending account for healthcare, gym memberships, transit, office supplies, or RRSP contributions.
  • Retirement plan with 100% RRSP matching through DPSP up to 4%.
  • Flexible vacation policy with 5 days available during probation and prorated time for the rest of the year.
  • $30/month personal technology reimbursement starting on day 1.
  • Winter holiday office closure and flexible scheduling throughout the year.

Interested in this position?

Apply directly on the company website

Apply Now

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