Location: Mississauga, ON (Hybrid)
Contract To Hire/Full Time
We are looking for a Senior Data Architect With (Strong Databricks) to design and lead scalable, secure, and high-performance cloud data platforms across AWS and/or Azure.
Key Responsibilities
- Design enterprise-scale cloud data architecture, data lakes, warehouses & lakehouses
- Develop HLDs (High-Level Designs) and architecture blueprints for data platforms
- Design and implement Medallion Architecture (Bronze, Silver & Gold layers)
- Define data models, integration patterns, governance and security frameworks
- Lead ETL/ELT, batch & real-time data architecture
- Drive cloud data modernization, performance and cost optimization
- Provide technical leadership and mentor Data Engineering teams
- 8–10 years of experience in Data Architecture / Data Engineering
- Strong experience with AWS and/or Azure
- Expertise in Medallion Architecture, Data Lakes/Lakehouses & Data Warehousing
- Strong experience creating HLDs, architecture diagrams and technical design documents
- Strong SQL and experience with Python or equivalent programming languages
- Experience with Spark, Databricks, Kafka, Airflow/dbt or equivalent technologies
- Experience working with structured and unstructured data
- Knowledge of Data Governance, Security, CI/CD & DevOps
- Excellent architecture, communication and stakeholder management skills
- AWS/Azure certifications
- Databricks Certification
- Snowflake experience
- Data Mesh concepts
- MLOps / AI data platform experience
Skills Required
- 8-10 years of experience in data architecture or data engineering
- Strong experience with AWS and/or Azure
- Expertise in medallion architecture, data lakes/lakehouses, and data warehousing
- Experience creating high-level designs, architecture diagrams, and technical design documents
- Strong SQL skills and experience with Python or equivalent programming languages
- Experience with Spark, Databricks, Kafka, Airflow/dbt, or equivalent technologies
- Experience working with structured and unstructured data
- Knowledge of data governance, security, CI/CD, and DevOps
- Excellent architecture, communication, and stakeholder management skills
- AWS or Azure certifications
- Databricks certification
- Snowflake experience
- Knowledge of data mesh concepts
- MLOps or AI data platform experience
What We Do
Driving Innovation through Advanced Data and AI Services. We offer next-level data and AI services to help you transform your data into actionable insights for a competitive edge. To augment your teams, we offer full-time/contract resources & consulting, design and development services for turnkey projects in the following areas: 01 DATA MODERNIZATION Define Cloud strategy, architecture & roadmap Identify current landscape & catalog data sources Data warehouse design & setup Develop data governance & data quality framework Implement data management technologies Build data analytics capabilities Inculcate data driven culture A future-ready framework to serve all business use cases 02 DATA INTEGRATION & CLOUD MIGRATION Design & develop Optimized data models and data pipelines ETL/ELT workloads & monitoring Processes that scale up and down without performance problems Automate data migration between upstream/downstream (on-prem) systems and Cloud 03 DATA ANALYTICS & AI Data analytics consulting – use-case exploration and building analytics roadmap Data preparation and creating a single version of truth Dashboard & report development AI/ML model selection and development AI/ML model tuning and validation AI/ML model scaling, integration and deployment
