Senior Platform Engineer (Data Platform)

Our client is currently seeking a Senior Platform Engineer based out of our Monterey, Mexico office.
As a leading global financial information services provider, our client delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, our client's culture of credibility, independence, and transparency is embedded throughout its structure, which includes our client, one of the world's top three credit ratings agencies, and our client, a leading provider of insights, data, and analytics. With dual headquarters in London and New York, our client is owned by Hearst.

Our client's Technology & Data Team is a dynamic department where innovation meets impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk, and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we're home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our organization and clients. We are also proud to be recognized by Built In as a "Best Place to Work in Technology" for 3 years in a row. Whether you're an experienced professional or just starting your career, we offer an exciting and supportive environment where you can grow, innovate, and make a difference. About the Team Join the Data Marketplace Tech team within the CSO organization, a highly visible group responsible for designing, building, and scaling solutions that free up data and empower business decisions across our clients. The team collaborates closely with stakeholders across the organization to deliver next-generation data capabilities with a focus on faster time to market, data engineering, robust data controls, innovation, and leveraging AI/ML for data solutions.
How You'll Make an Impact:

• Design and evolve secure, scalable, and resilient cloud platform capabilities that improve reliability, standardization, and delivery speed for enterprise engineering and data teams.
• Build and enhance automated software delivery, infrastructure provisioning, and deployment practices to enable consistent, repeatable, and efficient releases across environments.
• Embed security, code quality, and artifact governance controls into engineering workflows to strengthen platform integrity and reduce delivery risk.
  Improve operational resilience through observability, incident response readiness, disaster recovery planning, and recovery testing for critical platforms and services.
• Develop reusable platform standards, self-service capabilities, and engineering patterns that improve governance, operational efficiency, and team adoption.
• Partner with engineering, security, architecture, and data teams to deliver platform services that support modern data ecosystems, AI-enabled solutions, and distributed architecture needs.
• Provide technical leadership and mentorship to engineers while promoting best practices, innovation, and a culture of continuous improvement across platform engineering initiatives.
• Drive observability and operational excellence through proactive monitoring, alerting, logging, and performance management practices using Datadog and related tools, reducing incident risk and improving platform health.

You May be a Good Fit if:

• 5 - 8 years of experience in platform engineering, cloud infrastructure, DevOps, or Site Reliability Engineering supporting enterprise-scale production environments.
• Strong hands-on experience with AWS, along with working knowledge of Azure and/or Google Cloud Platform, across infrastructure, networking, identity, storage, compute, and managed services.
• Proven experience with CI/CD, continuous deployment, infrastructure as code, and platform automation using tools such as GitHub, GitHub Actions, ArgoCD, Terraform, Python, Shell scripting, Docker, and Kubernetes.
• Experience implementing observability and DevSecOps practices using tools such as Datadog, Sonar, Veracode, and JFrog, including monitoring, code scanning, vulnerability management, and artifact repository controls.
• Experience supporting modern data platforms and distributed architecture patterns, including an understanding of Data Mesh concepts; familiarity with Trino or similar distributed query engines is a plus.
• Ability to troubleshoot and resolve complex issues across cloud infrastructure, deployment automation, runtime environments, integrations, and production operations
• Hands-on experience with disaster recovery, backup and recovery strategies, failover planning, and operational support for highly available production systems.
• What Would Make You Stand Out:
• Experience supporting enterprise data platforms, including Data Mesh concepts, federated data access patterns, and technologies such as Trino, Databricks, or Snowflake.
• Understanding and implementation experience with modern authentication and authorization patterns, including OAuth, OpenID Connect, token-based authentication, and authorization code flows.
• Experience applying AI-enabled tools to improve engineering productivity, operational automation, incident management, and continuous deployment effectiveness.
• Strong collaboration and communication skills, with the ability to work across engineering, security, data, and business stakeholders.
• Proven ability to create reusable engineering patterns, platform templates, and standardized workflows that accelerate adoption and improve consistency across teams.

Why Choose our client:

• Work-Life Balance First: 40% in-office monthly stay connected while keeping flexibility.
• A Culture of Learning & Mobility: Dedicated training, leadership development, and mentorship programs designed to ensure that your time at our client will be a continuous learning opportunity
• Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals
• Promoting Health & Well-being: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational well-being
• Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectively
• Inclusive Work Environment: A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe
• Dedication to Giving Back: Paid volunteer days, matched funding for donations, and ample opportunities to volunteer in your community
• Our client is committed to providing global securities markets with objective, timely, independent, and forward-looking credit opinions. To protect our client's credibility and reputation, our employees must take every precaution to avoid conflicts of interest or any appearance of a conflict of interest. Should you be successful in the recruitment process at our client, you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work.
• Our client is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.