Data & AI Architect

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About the role

  • Data & AI Architect overseeing design and implementation of enterprise-grade data and AI solutions. Collaborating with teams for scalable platforms aligned with client objectives and technical excellence.

Responsibilities

  • Provide deep technical leadership across modern data and AI engagements
  • Design, build, and guide implementation of enterprise-grade data and AI solutions
  • Establish architectural standards, patterns, and reference models for data modernization and AI enablement
  • Provide technical direction and mentorship to data engineers, ML engineers, and solution developers
  • Collaborate with infrastructure and cloud teams to ensure robust, secure, and compliant deployments
  • Evaluate emerging tools and architectures in AI, data, and automation

Requirements

  • 8+ years of experience designing and implementing data and AI solutions in enterprise or consulting environments
  • Proven expertise building cloud-native data platforms on Azure, AWS, or GCP
  • Strong hands-on experience with: Data engineering: Spark, Databricks, Snowflake, Synapse, BigQuery, or Redshift
  • Data orchestration & integration: Airflow, Data Factory, Glue, or similar
  • ML/AI technologies: Python, TensorFlow, PyTorch, scikit-learn, Azure ML, SageMaker, Vertex AI
  • Generative AI: LLM integration, RAG, vector databases (e.g., Pinecone, FAISS), prompt engineering
  • MLOps/LLMOps frameworks: MLflow, Kubeflow, or similar
  • Strong foundation in data architecture, governance, and security best practices
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field

Benefits

  • Flexible working arrangements
  • Professional development opportunities
  • Employee referral program
  • Health and wellness programs

Job title

Job type

Full Time

Experience level

SeniorLead

Salary

$118,700 - $168,700 per year

Degree requirement

Bachelor's Degree

Tech skills

AirflowAmazon RedshiftAWSAzureBigQueryCloudGoogle Cloud PlatformPythonPyTorchScikit-LearnSparkTensorflow

Location requirements

HybridCalgaryCanada

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