Manager, Enterprise Data Integrity

Zscaler (NASDAQ: ZS) accelerates digital transformation so that customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange is the company’s cloud-native platform that protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.

With more than 10 years of experience developing, operating, and scaling the cloud, Zscaler serves thousands of enterprise customers around the world, including 450 of the Forbes Global 2000 organizations. In addition to protecting customers from damaging threats, such as ransomware and data exfiltration, it helps them slash costs, reduce complexity, and improve the user experience by eliminating stacks of latency-creating gateway appliances.

Zscaler was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. Zscaler’s purpose-built security platform puts a company’s defenses and controls where the connections occur—the internet—so that every connection is fast and secure, no matter how or where users connect or where their applications and workloads reside.

Position: Manager, Enterprise Data Integrity
Location: Remote within United States

About the team: As part of the IT group, we are responsible for executing our enterprise data strategy which emphasizes data management maturity, fosters a robust data culture, and architects a best-in-class enterprise data platform. We have the ultimate goal to provide trusted data and insights at scale which enable corporate and functional data-driven decision making. We are fueled by organic innovation, internal collaboration and adoption of data visualization, data management, reporting automation, AI/ML and integration tools. We leverage best practices and alignment through our Enterprise Data Community to deliver speed to insight, scale, control and enablement. The team is distributed across the United States and India and is composed of data engineers, data analysts, visualization developers, and infrastructure specialists.

Responsibilities/What You’ll Do:

• Reporting to the VP of Data you will develop and maintain our overarching Enterprise Data Integrity Strategy including policy, procedure, technology and vendor selection
• While the role predominantly focuses on Data Integrity, we are a fast paced organization with lots of opportunity for scope increase and role evolution
• Time not spent on Data Integrity will be encouraged to focus on Data Platform/Snowflake Innovation
• Architect, design, develop, and implement large-scale data governance and security programs inclusive of Role Based Access Controls, Dynamic Data Masking and Governance/Security Audits
• Generate architecture recommendations with the ability to implement them
• Drive data management maturity roadmap including data quality, data operations and data governance
• Collaborate with Sr Manager Enterprise Data Platform to define and implement security/ governance standards
• Implement Tableau Data Management across the organization
• Manage team of QA analysts
• Partner with Business Applications team to correct issues in source
• Solve technical problems of the highest scope and complexity
• Define and extend our internal standards for data profiling, data cleansing, data QA, data lifecycle management, metadata management, security management and business glossary
• Propose ideas to improve the scale, performance, and capabilities of the Data Platform

Qualifications/Your Background:

• 10 years of experience in Data Engineering, Data Integration, Data Architecture, and Solution Architecture roles
• Experience using Python, Java, or Scala for data processing (Python preferred)
• Knowledge of and experience with data-related Python packages
• Demonstrably deep understanding of SQL and analytical data warehouses (Snowflake preferred)
• Hands-on experience implementing ETL (or ELT) best practices at scale
• Hands-on experience with data pipeline tools (Airflow, Luigi, Azkaban, dbt)
• Strong data modelling skills and familiarity with the Kimball methodology
• Familiarity with Data Mesh guiding principles
• Familiar with Saas application APIs
• Hands-on experience developing, testing and productionalizing AI/ML models
• Experience delivering enterprise-scale security and governance programs
• Experience supporting Sales, Marketing, Finance, HR, and Product
• Experience with Hadoop, AWS, Azure or similar a plus
• Experience implementing Master Data Management solutions is a plus

All your information will be kept confidential according to EEO guidelines.

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What You Can Expect From Us:

• An environment where you will be working on cutting edge technologies and architectures
• A fun, passionate and collaborative workplace
• Competitive salary and benefits, including equity

Why Zscaler?

People who excel at Zscaler are smart, motivated and share our values. Ask yourself: Do you want to team with the best talent in the industry? Do you want to work on disruptive technology? Do you thrive in a fluid work environment? Do you appreciate a company culture that enables individual and group success and celebrates achievement? If you said yes, we’d love to talk to you about joining our award-winning team.

Additional information about Zscaler (NASDAQ: ZS ) is available at https://www.zscaler.com.

Zscaler is proud to be an equal opportunity and affirmative action employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.