Data Architect

Hi,

I hope you are doing well.

We have an urgent position below. If you are interested, please share your updated resume with the rate expectation.

• Job Title: Data Architect
• Location: Hybrid - Mississauga
• Mode : Contract

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 modern 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,
• Anjali Jaiswal
• Raas Infotek
• Newark, DE -19702
• Email: [email protected]