All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex, pregnancy, sexual orientation, gender identity or expression, national origin or ancestry, citizenship, physical or mental disability, age, marital status, civil union status, family or parental status, or any other characteristic protected by law. Accommodation is available upon request for candidates taking part in the selection process.
Key Responsibilities
- Design and implement data integration solutions in collaboration with Solution Engineer and data architects.
- Support ingestion, transformation, and orchestration using ADF, Synapse pipelines, Databricks Workflows, and event‑based patterns.
- Implement batch, incremental, and event‑driven ingestion following reference architectures.
- Maintain and extend data integration frameworks.
- Contribute to data modeling standards (Dimensional, Data Vault, Lakehouse).
- Implement analytics‑ready models and semantic layers for BI and ML.
- Apply agreed data contracts and integration patterns.
- Implement data cataloging, lineage, and data quality controls.
- Apply RBAC, ABAC, encryption, and auditability controls.
- Optimize Databricks performance, cost, and storage layout.
- Monitor and troubleshoot pipelines and workloads.
- Support platform modernization, POCs, and migrations.
- Contribute to engineering standards and participate in design reviews.
- Partner with offshore teams, architects, and business stakeholders.
Role Factors
The position is full‑time with work‑from‑home options, requiring in‑office presence three (3) days per week.
Required Skills & Experience
- Bachelor’s degree in Computer Science, Information Technology, or a numerate discipline.
- At least 5 years of experience in data engineering roles.
- At least 3 years of hands‑on Databricks and Delta Lake experience.
- Strong Azure data platform expertise (Databricks, ADF, Synapse, Event Hubs, Functions, ADLS Gen2, Key Vault, DevOps).
- Proficiency in Spark, PySpark, and SQL.
- Experience implementing Medallion / Lakehouse architectures.
- Familiarity with data governance, Unity Catalog, and DQ frameworks.
- Understanding of security, compliance, CI/CD, and IaC (Bicep/Terraform).
- MLOps and AI platform knowledge: MLflow, feature stores, model lifecycle and deployment patterns.
- Strong communication and collaboration skills.
Preferred Qualifications
- Azure certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect).
- Experience with Terraform, ARM templates, or Bicep for infrastructure automation.
- Experience with GenAI and using AI agents, use of Copilot, Claude, or similar models for automation or process optimization.
- Experience integrating Azure Data Services with Power BI and AI/ML workflows.
What We Offer
Base salary range: $80,000 - $100,000 CAD (Nova Scotia) or $90,000 - $105,000 USD (Alpharetta) (subject to assessment).
A comprehensive benefits package includes medical plans for you and your family, health and wellness programs, retirement plans, tuition reimbursement, paid annual leave, and more.
Where this role is based in the United States of America, the role is Exempt for FLSA purposes.
#J-18808-Ljbffr
Sign in
To continue your applicationor continue with email
By continuing you agree to our Terms & Privacy Policy.
