Job Title: IAM Data & AI Engineer Duration-6 Months+(Possible extension) Location-Toronto ON

Must Have: Proficiency in Python (baseline for all AI/data tooling) and advanced SQL across at least two platforms (Snowflake, Trino, SQL Server). Hands-on experience with Snowflake SQL, Cortex AI features, and semantic view design. Practical experience building MCP servers or agentic AI frameworks, including LLM API integration (Claude/Anthropic, GPT, or equivalent). Experience building RAG pipelines with LangChain or similar orchestration frameworks and vector database integration (Pinecone, Chroma, or similar). Demonstrated ability to design effective prompts with context management, chain-of-thought patterns, and governance controls (cost monitoring, logging, guardrails). Familiarity with IAM/PAM domain concepts (privileged access, entitlements, access certifications). Experience writing structured test plans and executing test cases for data or software systems. Experience authoring Apache Airflow DAGs, Apache Spark jobs, and managing pipeline dependencies. Knowledge of modern data lakehouse tooling: Apache Iceberg, DBT, and/or Hadoop ecosystem (HDFS, Hive). Experience with hybrid cloud deployments (AWS and/or Azure) alongside on-prem infrastructure. Proficient with Git workflows, GitHub Actions CI/CD pipeline configuration, and code review practices. Ability to produce clear technical documentation and data dictionaries. Strong problem-solving skills and ability to deliver in critical timelines with minimal oversight. Excellent communication skills — comfortable engaging with both technical teams and IAM business stakeholders.

Mindlance is an equal opportunity employer. We are committed to inclusive, equitable, barrier-free recruitment and selection processes, and work environment in accordance with the Accessibility for Ontarians with Disabilities Act (AODA). We will be happy to work with applicants requesting accommodation at any stage of the hiring process.