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Senior Azure Data Engineer
LinkedIn Recruiter Post
Senior Azure Data Engineer needed for hybrid role in Toronto. Requires 8+ years exp, Azure Data Factory, Databricks, PySpark, Python, SQL, Power BI/Tableau, ETL/ELT.
About the role
- Principal Data Protection Engineer at Equinix focusing on data protection through AI-enabled solutions and privacy engineering. Designing and developing APIs for data protection capabilities across enterprise platforms.
Responsibilities
- Design and implement data protection controls across data ingress, processing, storage, inference, and egress layers (e.g., classification, tokenization, encryption, masking, policy enforcement).
- Define and operationalize privacy-by-design and secure-by-default patterns for platforms, APIs, and AI-driven systems.
- Evaluate and implement data governance, consent, residency, retention, and deletion mechanisms aligned with regulatory and enterprise requirements.
- Analyze and assess data flows to identify privacy risks, data exposure paths, and compliance gaps.
- Design, develop, and deliver high-quality, production-grade APIs that expose data protection and privacy capabilities as reusable services.
- Own the API layer design, including authentication, authorization, schema design, rate limiting, observability, and security controls.
- Research, select, and implement technologies for API gateways, service orchestration, and platform integration.
- Ensure APIs meet published SLAs and SLOs, with built-in instrumentation and monitoring.
- Develop core services, tooling, and automation primarily using Python and Go (Golang).
- Build integrations, hooks, plugins, and pipelines that leverage data from security, privacy, and AI platforms.
- Automate data protection workflows across CI/CD pipelines and cloud platforms.
- Perform rigorous testing and validation to ensure reliability, scalability, and performance.
- Evaluate and integrate AI and open-source technologies to enhance data protection, detection, and enforcement.
- Design or contribute to agentic agents and autonomous workflows that make context-aware decisions about data use, access, and policy enforcement.
- Partner with AI platform teams to address data protection challenges in model training, fine-tuning, inference, and RAG systems.
- Research emerging trends in AI safety, privacy-preserving ML, and secure data sharing.
- Collaborate closely with Product Management and cross-functional engineering teams to translate requirements into technical solutions.
- Anticipate architectural and delivery risks; proactively resolve or escalate technical roadblocks.
- Own technical implementation end-to-end from design through production and operations.
- Operate, support, and continuously improve data protection services in live environments.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Security, or a related field.
- 10+ years of hands-on experience across data protection, security engineering, or privacy engineering.
- Deep understanding of data protection technologies and practices, including encryption, key management, data classification, tokenization, anonymization, and access control.
- Strong experience designing and delivering RESTful (and/or gRPC) APIs, including containerization, API gateways, service orchestration, and platform components.
- Advanced programming expertise in Python and Go (additional languages are a plus).
- Experience performing threat modeling, data risk analysis, and privacy impact assessments.
- Real-world experience with CI/CD pipelines (e.g., GitHub Actions).
- Experience deploying and operating services on public cloud platforms (AWS, Azure, or GCP) using Docker and Kubernetes.
- Exposure to data analysis, machine learning, or AI systems, particularly where sensitive or regulated data is involved.
Benefits
- Employee Assistance Program: An Employee Assistance program is available to all employees.
- US Benefits: - Insurance: You may enroll in health, life, disability and voluntary plans that are designed for you and your eligible family members. - Retirement: You and Equinix may contribute to a retirement plan to help you plan for your financial future. - Paid Time Off (PTO) and Paid Holidays: You will receive an accrued amount of PTO each pay period along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to change and may be subject to specific plan or program terms.
- Canada Core Benefits: - Insurance: You may enroll in healthcare coverage that is designed to complement the provincial healthcare system, along with life, disability and optional benefit plans that are designed for you and your eligible family members. - Retirement: You may also enroll in Equinix-sponsored retirement or savings plans: Defined Contribution Pension Plan (DCPP), Group Retirement Savings Plan (RRSP) and Tax-Free Savings Plan (TSFA). - Vacation and Paid Holidays: Equinix offers both vacation and personal time, along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to specific plan or program terms, and to change at Equinix discretion.
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