Be the one building AI-powered experiences where they matter most.

At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships.

Help build, support and operate technology used by more than 8,000 organizations in over 100 countries – moving AI from possibility to production in real-world enterprise environments every day.

Senior Data Platform Engineer
Brazil (remote)

This role reports directly to India please apply with a copy of your resume in English to be considered.

Role Overview:
Own the technical foundations that keep Genesys data platforms secure, scalable, governed, and accessible to the teams that depend on them. As Senior Data Platform Engineer, you will shape platform administration across Snowflake, AWS, Tableau, Alation, and the broader enterprise data ecosystem, translating governance requirements into durable systems that reduce risk while accelerating responsible access to data.

You will own end-to-end access provisioning and administration, architect scalable RBAC and identity models, and automate governance controls using Terraform, Python, CI/CD, and identity integrations such as Okta and SCIM. Your work will strengthen auditability, improve platform economics, and create secure self-service capabilities that help data teams spend less time navigating manual controls and more time delivering customer and business value.

The role combines hands-on technical depth with strategic influence across Data Platform Governance and Operations. You will drive alignment between governance requirements, platform architecture, security, compliance, and engineering teams while helping establish standards for emerging Snowflake AI and machine learning capabilities, including Cortex, Agents, and Snowpark ML.

This position provides visibility into enterprise platform initiatives and the opportunity to expand your influence across cloud infrastructure, governance automation, cost optimization, and AI-enabled data platforms. At Genesys, collaboration, empathy for platform users, and ambitious problem solving shape how we build systems that enable teams to work securely and effectively at enterprise scale.

Key Responsibilities:

• Own end-to-end administration and governance of Snowflake, including scalable RBAC architecture, functional and access role patterns, network policies, authentication policies, and identity integrations
• Design secure access frameworks using row-level access policies, dynamic data masking, PII object tagging, and Access History to strengthen data protection and auditability
• Drive Snowflake cost efficiency through warehouse sizing, compute optimization, resource monitors, query tagging, observability, and reserved capacity planning
• Architect automated access provisioning, approval, certification, and deprovisioning workflows that reduce manual administration and improve consistency across enterprise platforms
• Develop and maintain Terraform and Infrastructure as Code configurations that standardize platform provisioning and enforce governance controls across environments
• Build governance monitoring and CI/CD capabilities that surface access anomalies, policy violations, and compliance risks while enabling controlled infrastructure and access changes
• Lead the technical execution of SOX controls by automating evidence collection, maintaining audit-ready access reporting, and supporting continuous compliance validation
• Manage AWS account structures, IAM roles, trust policies, S3 Storage Integrations, and cross-account access to provide secure connectivity for Snowflake and related data services
• Administer Tableau, Alation, and related enterprise platform tooling, establishing scalable permissions, catalog access, and metadata governance practices
• Drive secure integration across Snowflake, AWS, identity systems, business intelligence tools, and data governance platforms to improve reliability and operational transparency
• Establish governance foundations for Snowflake AI and machine learning capabilities, including Cortex, Agents, and Snowpark ML, enabling responsible adoption as platform capabilities evolve
• Partner with governance, security, compliance, engineering, and senior stakeholders to shape platform standards, improve self-service access, and advance enterprise data platform maturity

Required Qualifications:

• English proficiency
• Extensive hands-on experience administering Snowflake environments, including RBAC design, role hierarchy management, access provisioning, row-level security, dynamic data masking, network and authentication policies, resource monitors, and Access History
• Strong background in AWS account administration, IAM roles and trust policies, S3 Storage Integrations, and cross-account access governance
• Demonstrated experience administering enterprise platforms such as Tableau, Alation, or comparable business intelligence and data governance tools, including permissions and metadata governance
• Hands-on expertise with Terraform and Infrastructure as Code, including automation of platform provisioning, access controls, and governance configurations
• Deep understanding of identity and access management, including scalable RBAC models, federated authentication, Okta, and SCIM integrations
• Experience supporting SOX, SOC 2, or comparable compliance programs, including audit evidence generation, access reporting, and control documentation
• Strong Python or equivalent scripting experience applied to platform administration, access provisioning, monitoring, or governance automation
• Demonstrated ability to make technical decisions across complex platform environments and collaborate effectively with governance, security, compliance, and engineering stakeholders

Preferred Qualifications:

• Hands-on administration experience across multiple enterprise platforms such as Tableau, Alation, Collibra, or comparable catalog and business intelligence technologies
• Experience implementing GitHub workflows or comparable CI/CD capabilities for infrastructure, platform administration, and access-control changes
• Proven track record advancing enterprise governance practices and supporting organizational adoption of scalable platform controls
• Familiarity with Snowflake Cortex, Agents, Snowpark ML, or related AI and machine learning capabilities, including their security and governance considerations

Working at Genesys

• AI at enterprise scale – Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year.
• A flexible-first culture – Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work.
• Growth in the AI era – Build future-ready skills through mentorship, learning programs, leadership development and education support.
• Time to recharge and give back – Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families.
• Recognized globally – Genesys is Great Place to Work® certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.

Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report.

What Happens After You Apply

After you apply, here's what you can typically expect:

• Our Talent Acquisition team reviews your application with the hiring team.

• A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview.


• Next, you'll meet the hiring manager and other members of the interview team.

• We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases.

• After interviews are complete, our team will follow up with the final steps.

Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process.

Stay Connected

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Be the one building what's next - where AI, experience and impact come together.

Employee Referral

If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral.

About Genesys:

Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. Genesys Cloud™ is the Agentic Orchestration Platform that securely connects people, systems, data and AI across the enterprise with built-in governance and control. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.ai. 

Reasonable Accommodations:

If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at reasonable.accommodations@genesys.com.

You can expect a response within 24–48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.

This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation—such as application follow-ups or resume submissions—may not receive a response.

Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.

Please note that recruiters will never ask for sensitive personal or financial information during the application phase.