Hi,

Hope you are doing well.

I have an immediate requirement. Please let me know if you are interested in this role, and share your updated resume

Role : Databricks Lead / Data Architect (Hands-On)

Location : Mississauga, ON (Hybrid- 3 days in the office per week)

Mode: Contract

12+ yrs data engineering;

4+ yrs Databricks

Job Summary

We are seeking an experienced Databricks Architect to design, build, and optimize scalable cloud-based data platforms and Lakehouse solutions. The ideal candidate will have strong expertise in Databricks, Apache Spark, cloud platforms (AWS/Azure/GCP), data engineering, and contemporary analytics architecture.

The role involves leading end-to-end architecture, migration, modernization, governance, performance optimization, and implementation of enterprise data solutions supporting analytics, AI/ML, and business intelligence initiatives.

Key Responsibilities

- Design enterprise-scale Lakehouse architecture using Databricks
- Architect scalable ETL/ELT pipelines using PySpark, Spark SQL, and Databricks Workflows
- Implement Delta Lake, Medallion Architecture (Bronze/Silver/Gold), and Unity Catalog
- Lead migration of legacy data warehouses and ETL platforms to Databricks
- Design batch and real-time streaming data pipelines
- Optimize Spark jobs for performance, scalability, and cost efficiency
- Implement CI/CD pipelines and DevOps automation
- Define data governance, security, lineage, and access control standards




- Collaborate with business stakeholders, data engineers, analysts, and leadership teams
- Provide technical leadership, code reviews, architecture reviews, and best practices
- Support AI/ML enablement using MLflow and Databricks capabilities
- Establish monitoring, observability, and operational support frameworks

Required Skills

Technical Skills

- Strong hands-on experience with:

o Databricks o Apache Spark o PySpark o SQL o Python
- Experience with Delta Lake and Unity Catalog
- Expertise in data modeling and Lakehouse architecture
- Experience with cloud platforms:

o AWS o Azure o GCP
- Knowledge of:

o Data Lakes o Data Warehousing o Streaming frameworks o CI/CD pipelines o Git/DevOps
- Familiarity with orchestration tools:

o Airflow o Azure Data Factory o Databricks Workflows

Preferred Skills

- MLflow / AI & ML integration
- Kafka / Structured Streaming
- Snowflake integration
- Infrastructure as Code (Terraform)
- Kubernetes exposure
- Data governance and security frameworks

Experience Requirements

- 10+ years in Data Engineering / Data Architecture
- 5+ years working with Databricks
- Experience leading enterprise cloud modernization projects
- Strong stakeholder management and client-facing experience
- Experience designing scalable distributed data systems

Thanks,

Ravi Kumar

Raas Infotek

Newark, DE 19702

Direct No: (phone hidden)

Email: [email protected]

📌 Data Architect (Mississauga)
🏢 Raas Infotek
📍 Mississauga