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vikat.AI

Senior Databricks Data Engineer / Solutions Architect

Ottawa, ON, Canada

Job type: Contract
Apply by: Oct 30, 2026
Posting language: English
Posted: Sep 30, 2026

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Original job description

We’re looking for a **Senior Databricks Data Engineer / Solutions Architect** to own an **Azure Databricks Lakehouse** from data ingestion and engineering through governed data products, **Power BI**, and **AI/RAG** solutions.

Key Responsibilities

Architect **Medallion Lakehouse** solutions using Azure Databricks, Delta Lake & Unity Catalog

Build scalable ETL/ELT pipelines using **PySpark, Spark SQL & ADF**, including CDC and data validation

Design **dimensional models, data marts & Power BI** solutions

Integrate data from databases, **REST APIs, SharePoint & SFTP**

Build **GenAI/RAG** solutions using Azure OpenAI, Azure AI Search, FastAPI & Streamlit

Develop **Azure DevOps CI/CD** pipelines and support Terraform across environments

Develop, schedule & monitor **Python jobs on Databricks**

Tune **Azure SQL / SQL Server** for performance, security & reliability

Implement data quality, lineage, governance & **RBAC**

Lead migrations from **on-prem SQL Server, SSIS & SSRS**

Required Skills

🔹 **8+ years** in Data Engineering / BI with **3+ years of Azure Databricks**

🔹 Strong **Databricks, Spark SQL, T-SQL & query optimization**

🔹 **Python, PySpark, SQL/T-SQL, Delta Lake**

🔹 **ADF, ADLS Gen2, Azure SQL & Synapse**

🔹 Medallion Architecture & Dimensional Modeling

🔹 **Power BI – DAX, Power Query & RLS**

🔹 Azure DevOps CI/CD

🔹 Strong database administration, performance tuning & security experience

🔹 Excellent stakeholder communication

Nice to Have: Databricks Data Engineer Professional, DP-203, AZ-305, Microsoft Fabric/OneLake, Terraform, **RAG/Vector Search/Embeddings**, or public-sector/regulated-environment experience.

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More about this job

Responsibilities

Architect and operate an Azure Databricks Lakehouse, building scalable ingestion and ETL/ELT pipelines, governed data products, dimensional models, and Power BI solutions. Develop AI/RAG applications and CI/CD workflows, optimize Azure SQL and SQL Server, implement data governance and quality controls, and lead migrations from on-premises SQL Server, SSIS, and SSRS.

Requirements

Requires 8+ years of data engineering or BI experience, including 3+ years with Azure Databricks, and strong skills in Databricks, Spark SQL, T-SQL, Python, PySpark, Delta Lake, Azure data services, and Power BI. Candidates should also have experience with database administration and optimization, Azure DevOps CI/CD, data modeling and governance, and strong stakeholder communication; relevant certifications and Terraform or RAG experience are preferred.

Skills

Azure Databricks
PySpark
Spark SQL
Python
T-SQL
Delta Lake
Azure Data Factory
ADLS Gen2
Azure SQL
Azure Synapse
Medallion Architecture
Dimensional Modeling
Power BI
Azure DevOps CI/CD
Unity Catalog
RAG

Visa sponsorship

Not detected in the job text

Keywords

Azure Databricks
Lakehouse
Medallion Architecture
Delta Lake
Unity Catalog
PySpark
Spark SQL
Python
T-SQL
ETL/ELT
Change Data Capture
Azure Data Factory
ADLS Gen2
Azure SQL
Azure Synapse
Dimensional Modeling
Data Marts
Power BI
DAX
Power Query
Row-Level Security
Azure OpenAI
Azure AI Search
RAG
FastAPI
Streamlit
Azure DevOps
CI/CD
Terraform
Databricks Data Engineer Professional

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