- Company Name
- Direct IT Recruiting Inc.
- Job Title
- Architecte de solutions de données IA bilingue (1789)
- Job Description
-
**Job Title**
AI‑Data Solutions Architect (Bilingual)
**Role Summary**
Design, implement and govern enterprise‑scale data and AI solutions that meet business KPI and regulatory requirements. Collaborate with cross‑functional stakeholders to translate strategy into end‑to‑end data architecture, pipelines, and predictive models on Azure and Snowflake platforms.
**Expectations**
- 8+ years in data solution architecture with strong expertise in AI/ML Ops.
- 3–5 years in a solutions architect or equivalent role.
- Bilingual (French & English) required.
- Experience in healthcare or pharmaceutical domains is an asset.
**Key Responsibilities**
- Architect complete data solutions (lakehouse, mesh, vault, star schema).
- Translate business KPIs and reporting needs into backend data models and pipelines.
- Lead design reviews, POCs, and go‑live plans.
- Ensure compliance with data governance, privacy, and security standards.
- Partner with Sales, Marketing, Finance for integrated solutions.
- Stay current on emerging technologies and recommend enhancements.
**Required Skills**
- Data architecture: Data Warehouse, Lakehouse, Mesh, Vault, Star/Snowflake schema.
- ETL/ELT tools: Matillion, SSIS, Azure Data Factory, Databricks, Power Platform.
- Data modeling: SQL, Python, DBT, SQLMesh, Kestra, GitHub Actions.
- Performance tuning: sharding, partitioning, indexing.
- AI/ML: Azure ML, Snowflake Cortex, MLflow, Airflow, predictive/classification models, decision trees.
- Cloud: Azure (Data Factory, DevOps, Fabric, Event Hub, Service Bus, networking).
- Big data: Kafka, Event Hub, vector DB, OLAP/OLTP concepts.
- Databases: Snowflake, MS SQL, Azure SQL, PostgreSQL, MySQL, Oracle, DB2, MongoDB.
- DevOps/Agile/FinOps: CI/CD, infrastructure as code, cost optimization.
- Data governance & compliance: GDPR, HIPAA, PHIPA, CCPA.
**Required Education & Certifications**
- Bachelor’s degree in Computer Science, Information Systems, or related field.
- Relevant certifications (e.g., Azure Data Engineer Associate, Snowflake SnowPro, AWS Certified Big Data Specialty, or ML‑Ops certifications) are desirable.
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