Canada

About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability. We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. Role We are looking for a Lead Workday Integration Developer (People Tech & AI) to join our team. This is a Remote role, reporting to the Director in the IT/Corporate Apps department. In this role, you will lead the evolution of our HR tech stack by blending deep Workday expertise with AI-driven development. You will leverage AI-assisted coding and agentic workflows to build automated solutions that solve complex People & Culture challenges and help us build seamless, intelligent employee experiences across our entire HR landscape. What you’ll do (Role Expectations)

• Own the full lifecycle of cross-platform People & Culture solutions, bridging systems like Workday, ServiceNow HRSD, and broader HR tooling to architect secure, scalable, and seamless employee experiences
• Spearhead the evaluation, design, and implementation of AI-driven HR solutions and leverage AI applications, AI-assisted coding practices, and multi-agent orchestration to accelerate development, optimize data mapping, and build robust automated workflows
• Serve as the senior subject matter expert and strategic partner to HR, Payroll, and IT executives, translating complex technical concepts and AI capabilities into actionable business value, ensuring optimal user experiences and cross-platform synergy
• Drive AI and P&C technology investments by developing data-driven business cases with clear ROI, defining key success metrics for adoption, and creating compelling presentations to communicate strategy and impact to executive leadership
• Develop and execute comprehensive implementation plans using agile methodologies, and design robust test plans and scripts to ensure all Workday integrations and custom AI applications are delivered on time, high-quality, and bug-free

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
• 8+ years of software engineering or systems integration experience, including at least 4 years of proven architectural-level understanding of the Workday Integrations framework (Payroll Integrations, Core Connectors, EIBs, Workday Studio, and advanced reporting like BIRT or Custom RaaS APIs)
• Demonstrated experience integrating AI tools, Large Language Models (LLMs), or MCP frameworks into enterprise workflows, with practical experience in AI prompting techniques and AI-assisted development practices for faster deployment of complex logic
• Proven ability to lead agile teams, manage vendor relationships, and thrive in a rapidly evolving, high-growth environment
• Demonstrated ability to build business cases, justify investments, and measure ROI of P&C technology solutions

What Will Make You Stand Out (Preferred Qualifications)

• Experience developing custom Workday Extend applications integrated with proprietary or open-source LLMs to streamline talent orchestration and employee lifecycle events
• Previous experience integrating modern ATS platforms like Greenhouse or managing ServiceNow HRSD modules with complex, AI-enabled agentic flows, alongside deep knowledge of Workato or similar middleware
• Hands-on experience deploying AI agents within distinct HR processes, running IT operations for custom P&C applications, and familiarity with hyperscaler infrastructure such as AWS, GCP, or Azure, coupled with a strong background in UX and design thinking

#LI-YC2 #LI-Remote Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all Canada locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $134,400—$168,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:

• Various health plans
• Time off plans for vacation and sick time
• Parental leave options
• Retirement options
• Education reimbursement
• In-office perks, and more!

Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. Affirm's engineering team is building a large-scale, highly-available, and global infrastructure that is shared across multiple financial products. Ensuring that our infrastructure is accessible to all engineers is critical to the success of the business. We pride ourselves on our culture across engineering of engaging in thorough technical design review, operational excellence, and capable incident response and analysis. The Data and Storage Services team is responsible for handling all of Affirm's Data (OLAP and OLTP) requirements and encompasses the entire range from critical online checkout databases all the way to our Batch Orchestration, Streaming Infrastructure, Event Driven Frameworks, BI and analytics tools and systems. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale. The Data Services organization encompasses the Lake Analytics Platform and Analytics Engineering teams. Our platform powers Affirm's analytical data ecosystem — from the lakehouse and query infrastructure that stores and serves data at scale, to the transformation and modeling layers that make data trustworthy and accessible to the business. We are responsible for Snowflake, FiveTran, Atlan, MonteCarlo, dbt, data governance, privacy controls, and the tooling that enables self-service analytics with an AI focused mindset across the company. What you’ll doAs a member of the Data and Storage Services organization, you will collaborate with other teams — including Product, Infrastructure, Lakehouse Infra, Lakehouse Analytics and Analytics Engineering to:

• Architect and evolve Affirm's lakehouse analytics platform, driving strategy around Snowflake, Apache Iceberg, and Spark to deliver scalable, high-performance analytical infrastructure.
• Design and implement robust Role-Based Access Control (RBAC) and dynamic data masking policies in Snowflake, ensuring data access is secure, compliant, and auditable across the organization.
• Lead the technical direction of analytics engineering practices, including data modeling, transformation pipelines (dbt), and data quality frameworks that enable trustworthy, self-service analytics.
• Drive data governance and privacy engineering initiatives, leveraging tools like Atlan to manage data cataloging, lineage, classification, and policy enforcement.
• Identify and execute cost optimization strategies across Affirm's analytical compute and storage footprint, including Snowflake warehouse tuning, query optimization, and efficient data lifecycle management.
• Collaborate with product engineering, data science, and business intelligence teams to understand their data needs and provide continuous guidance on design, architecture, and best practices.
• Establish and champion best practices for lakehouse operations at scale, including schema evolution, table maintenance, partitioning strategies, and observability.
• Stay ahead of industry trends in analytical data platforms, data governance, and privacy technologies, and identify opportunities to innovate and improve our data offerings.
• Mentor engineers across the Lake Analytics Platform and Analytics Engineering teams, providing guidance on emerging technologies, development practices, and fostering a culture of technical excellence.
• Participate in an on-call rotation and collaborate with other teams such as SRE to resolve production issues.

What we look for

• Architect and Implement: Design, develop, and maintain core components of Affirm's lakehouse analytics platform, with a focus on scalability, governance, and reliability.
• Snowflake Expertise: Leverage deep knowledge of Snowflake to architect RBAC models, dynamic data masking, warehouse optimization, and multi-cluster compute strategies. Should possess deep understanding of Snowflake internals including query profiling, micro-partitioning, clustering, materialized views, and cost attribution.
• Analytics Engineering: Drive the technical strategy for data modeling and transformation using dbt, including testing frameworks, documentation standards, and CI/CD for data pipelines.
• Data Governance & Privacy: Design and operate data governance frameworks using tools like Atlan, including data cataloging, lineage tracking, classification, and automated privacy policy enforcement.
• Lakehouse Architecture: Tackle the challenges of large-scale analytical data systems, including Apache Iceberg table management, schema evolution, storage optimization, and integration with Spark and Snowflake.
• Collaboration: Work closely with product managers, software engineers and analysts to translate business requirements into technical solutions, and with fellow engineers to deliver high-quality data infrastructure.
• Mentorship: Guide and mentor junior and senior engineers, sharing your expertise and fostering a culture of technical excellence.
• Innovation: Stay ahead of the curve by researching and experimenting with emerging technologies and trends in the lakehouse, data governance, and analytics engineering space.

Qualifications:

• Experience: 10+ years of experience in software engineering or data engineering, with a proven track record of delivering complex data platform solutions that improve accessibility, performance, and governance of analytics infrastructure.
• Snowflake Expertise: 6+ years of hands-on experience with Snowflake or comparable analytical data warehouses, including RBAC design, data masking, query optimization, and cost management.
• Lakehouse & Big Data: Strong experience with Apache Iceberg, Spark, and cloud-native data lake architectures on AWS (S3, EKS).
• Analytics Engineering: Experience with dbt or equivalent transformation frameworks, including data modeling best practices, testing, and CI/CD for data pipelines.
• Problem Solving: Exceptional problem-solving and analytical skills, with the ability to identify and resolve complex technical challenges and establish long-lasting solutions and processes.
• Programming Skills: Proficiency in Python and SQL, with a strong emphasis on clean, maintainable code. Experience with Kotlin or Go is a plus.
• Leadership: Demonstrated leadership and mentorship skills, with the ability to inspire and guide others. You can also work cross-functionally addressing technical challenges and influencing roadmaps outside your direct area of ownership.
• Innovation: You drive innovation in the platforms you build and operate, and have experience contributing to open-source projects. You are passionate about engaging with the data engineering community.
• Infrastructure as Code (IaC): Familiarity with automation tools like Terraform for managing data infrastructure.
• Communication: Excellent communication and interpersonal skills, with the ability to clearly articulate technical ideas to both technical and non-technical audiences.

Pay Grade - R Equity Grade - 9 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) CAN base pay range per year: $209,000 - 269,000 #LI-Remote Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities. We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:

• Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
• Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
• Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
• ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. [For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.