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

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

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