We are seeking a skilled Data Platform Operations Engineer to support the stability, security, performance, and efficiency of our global enterprise data platform.
Responsibilities
- Ensure the secure and stable operation of the enterprise data platform (Snowflake, AWS data stack, dbt, orchestration tools, BI/analytics, etc.)
- Provide operational coverage within an 8/5 support model and assist in responding to major incidents
- Improve monitoring, alerting, and observability solutions for incident detection and resolution
- Carry out platform updates, patching, and configuration management to comply with security and operational standards
- Monitor performance metrics and collaborate on changes to meet shifting business needs
- Use observability platforms to monitor infrastructure, data pipelines, and key services
- Provide monitoring reports and insights to support better operational decisions
- Help implement automation opportunities to reduce manual processes and improve efficiency
- Collaborate on platform enhancements for resilience, scalability, and optimal cost management
- Contribute to infrastructure-as-code and repetitive operational practices
Requirements :
- Experience managing cloud-based data platforms for 2+ years (e.g., Snowflake, Databricks, BigQuery, or similar)
- Understanding of cloud environments (AWS) with focus on operations and automation
- Familiarity with monitoring tools (Datadog, Prometheus, Grafana, CloudWatch, etc.)
- Basic knowledge of Infrastructure as Code (Terraform, Ansible) and configuration management
- General understanding of security, networking, and compliance within cloud environments
- Problem-solving skills with a team-focused, service-oriented approach
- Flexibility to work in a global support model and assist with on-call responsibilities
- Effective communication skills to collaborate with technical and non-technical teams
- Commitment to improving operational processes and contributing to platform performance
- English level B1+ for effective communication
Nice to have
- Background in cost optimization strategies or FinOps best practices
- Experience working in regulated industries (pharma, healthcare, finance) or compliance-centric environments
- Knowledge of modern data stack tools (dbt, Dagster/Airflow, Tableau, Power BI)
- Understanding of foundational SRE (Site Reliability Engineering) practices
We offer
- Career plan and real growth opportunities
- Unlimited access to LinkedIn learning solutions
- Constant training, mentoring, online corporate courses, eLearning and more
- English classes with a certified teacher
- Support for employee’s initiatives (Algorithms club, toastmasters, agile club and more)
- Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more)
- Flexible work schedule and dress code
- Collaborate in a multicultural environment and share best practices from around the globe
- Hired directly by EPAM & 100% under payroll
- Law benefits (IMSS, INFONAVIT, 25% vacation bonus)
- Major medical expenses insurance: Life, Major medical expenses with dental & visual coverage (for the employee and direct family members)
- 13 % employee savings fund, capped to the law limit
- Grocery coupons
- 30 days December bonus
- Employee Stock Purchase Plan
- 12 vacations days
- Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th & 31st)
- Monthly non-taxable amount for the electricity and internet bills
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.