Senior Data Platform Engineer – Cloud & GenAI Enablement – AIRLHV

Job Summary

NavitasPartners is hiring a Senior Data Platform Engineer – Cloud & GenAI Enablement for a remote/hybrid role based in Mississauga, Peel region, Canada. This contract/full‑time position offers a salary of $83,200 CAD and focuses on building scalable cloud data infrastructures for AI and GenAI workloads.

Key Responsibilities

• Design, develop, and maintain cloud‑native data platforms on AWS/Azure/GCP supporting large‑scale analytics and AI/ML pipelines.
• Implement data ingestion, transformation, and storage solutions using technologies such as Snowflake, Databricks, Apache Spark, and Delta Lake.
• Enable GenAI capabilities by integrating large language models (LLMs) and vector databases into production data workflows.
• Collaborate with data scientists, engineers, and business stakeholders to translate requirements into robust data architectures.
• Ensure data security, governance, and compliance across all cloud environments.
• Optimize performance and cost‑efficiency of data pipelines and storage.
• Provide technical mentorship to junior engineers and contribute to best‑practice documentation.

Qualifications & Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 5+ years of experience building cloud data platforms and analytics solutions.
• Strong expertise in cloud services (AWS, Azure, or GCP), containerization (Docker, Kubernetes), and CI/CD pipelines.
• Hands‑on experience with data engineering tools: Spark, Flink, Airflow, Terraform, and modern data warehouses.
• Familiarity with GenAI frameworks, LLM APIs, and vector search technologies.
• Proficiency in Python, SQL, and scripting languages.
• Excellent problem‑solving, communication, and teamwork skills.

Benefits

• Competitive salary of $83,200 CAD.
• Flexible remote/hybrid work arrangement.
• Opportunity to work on cutting‑edge GenAI projects.
• Professional development and mentorship.

Frequently Asked Questions

What type of employment is offered for this Senior Data Platform Engineer role?

The position is available as a contract or full‑time role with flexible remote/hybrid work options.

What technologies will I work with in this role?

You will work with cloud platforms (AWS, Azure, GCP), data engineering tools like Spark, Databricks, Airflow, and GenAI technologies such as large language model APIs and vector databases.

Is prior experience with GenAI required?

Experience with GenAI frameworks and integrating LLMs is preferred but not mandatory; a strong background in data platforms and cloud services is essential.