GrepJob
Benevity

Architect

Benevity

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about 3 hours ago
Calgary, Canada
Senior / Staff+

Responsibilities

  • Develop and maintain end-to-end tracks for data and AI technology strategy.
  • Mentor engineers and technical leadership on architectural patterns.
  • Lead architecture decision-making through Architecture Decision Records.
  • Oversee architectural and code reviews to ensure quality standards.
  • Foster collaboration and continuous learning through mentorship and workshops.
  • Enable governed data consumption with clear data contracts and serving patterns.
  • Standardize data flow patterns including ingestion and transformation.
  • Set platform standards for orchestration and reliability.
  • Establish enterprise data quality practices and monitoring workflows.
  • Drive governance-by-design for AI solutions.
  • Define AIOps standards for AI systems.
  • Collaborate with stakeholders to mitigate technical risks.
  • Stay informed about industry regulations and compliance requirements.

Requirements

  • Bachelor's or Master's degree in Computer Science or related field.
  • 7+ years in software development and architecture of large-scale systems.
  • 4+ years focused on data engineering and AI solution design.
  • Strong problem-solving skills for scalable solution patterns.
  • Ability to think strategically with attention to technical details.
  • Experience building enterprise data platforms with standards.
  • Demonstrated ability to design governance-ready AI solutions.
  • Expertise in system architecture and cloud computing.
  • High standards for operational readiness and documentation.
  • Deep experience with modern data platform capabilities.
  • Proficiency in Python, SQL, and Jupyter Notebooks.
  • Experience with agentic frameworks and AIOps tooling.
  • Familiarity with Agile methodologies and fast-paced environments.
  • Strong understanding of security principles and performance optimization.

Benefits

  • Flexible hybrid work approach to support personal well-being.
  • Commitment to diversity, equity, inclusion, and belonging.
  • Opportunities for innovative work and personal growth.
  • Supportive employee resource groups and diverse leadership.

Tech Stack

Apache AirflowApache KafkaApache SparkdbtJupyter NotebookPythonSnowflakeSQL

Categories

AI & MLData EngineeringSecurity