Senior Azure Databricks Engineer (Contract) Location: Calgary, AB (Onsite 4 days/week downtown) Term: 36 months Engagement: Contract through a consulting firm delivering data engineering projects for multiple enterprise clients Industry: Oil & Gas (experience a plus, not required) A leading Canadian consulting firm is seeking an experienced Databricks Engineer to support several high-impact client initiatives.

This is a hands-on engineering role focused on designing, building, and optimizing data workloads on Azure Databricks , including large-scale migrations, platform modernization, and AI/ML enablement.

You will work directly with consulting delivery teams and enterprise client stakeholders in a fast-moving, collaborative environment.

This role requires Calgary-based candidates who are comfortable being onsite 4 days per week .

Key Responsibilities Design and develop Azure Databricks solutions using PySpark and SQL Build and optimize batch and streaming data pipelines Migrate legacy workloads from Synapse and other platforms into Databricks Implement Delta Lake patterns (medallion architecture, CDC, data quality) Integrate Databricks with Azure services such as ADLS , ADF , Azure Key Vault , and Azure Dev

Ops/Git

Hub Optimize performance and cost (cluster sizing, job orchestration, query tuning) Collaborate with architects, analytics engineers, and client teams Contribute to reusable accelerators, internal standards, and best practices Support client enablement through documentation and knowledge transfer Implement governance models and Unity Catalog (access controls, lineage, security frameworks)



Required Skills & Experience 7+ years of data engineering experience 4+ years of recent, hands-on Databricks engineering (Delta Lake, Unity Catalog, MLflow) Strong experience building production pipelines using PySpark and SQL Proven experience with Azure data services: ADLS, ADF, Synapse, Key Vault, Azure Dev

Ops Experience leading large-scale data migrations and ETL/ELT workload modernization Strong understanding of lakehouse architecture , medallion patterns, and modern ELT/ETL approaches Experience implementing CI/CD for data workloads Strong understanding of enterprise data governance , security, and compliance Excellent communication skills with comfort working directly with client teams Previous consulting or professional services experience strongly preferred Databricks and Azure certifications considered an asset Ideal Candidate Profile A strong, hands-on Azure Databricks engineer who: Delivers high-quality, production-ready code Understands up-to-date data architecture and platform design Communicates clearly with technical and non-technical stakeholders Thrives in collaborative, client-facing environments Is comfortable being onsite 4 days/week Can contribute immediately to high-impact migration and modernization projects Why This Role Stands Out Contract through a delivery-focused consulting firm supporting multiple enterprise clients Work on high-impact Oil & Gas data initiatives (migration, modernization, AI/ML enablement) Exposure to advanced Databricks features and architecture patterns Only qualified candidates will be contacted for next steps.

Thank you in advance for your interest.

📌 Senior Azure Databricks Engineer (4 days onsite - Calgary)
🏢 Hire DigITalent
📍 Calgary