13 days ago
Aguascalientes, MexicoSenior
Responsibilities
- Design and develop Snowflake platform automation solutions using Python, SQL, Streamlit, and GitHub.
- Build access management, data classification and tagging, dynamic masking, governance applications, and AI agent capabilities.
- Develop proofs of concept, accelerators, and reusable platform services for data engineering and analytics teams.
- Implement secure data sharing, multi-account Snowflake architectures, automated deployments, CI/CD pipelines, and release processes.
- Create monitoring, troubleshooting, and root-cause-analysis automation for enterprise data products.
- Evaluate Snowflake capabilities and recommend adoption strategies to improve efficiency and reduce operational costs.
- Partner with architecture, governance, data engineering, and operations teams on enterprise platform improvements.
- Follow SDLC, audit, change management, and segregation-of-duty requirements.
Requirements
- 7+ years of experience in data platform engineering, cloud engineering, or Snowflake engineering.
- Strong expertise in Snowflake administration, RBAC, roles, grants, warehouses, resource monitors, authentication policies, network policies, and service accounts.
- Experience with Snowflake Streams, Tasks, Dynamic Tables, stored procedures, and secure shares.
- Strong Python development and automation skills plus SQL performance tuning and query optimization experience.
- Experience with GitHub, CI/CD, DevOps practices, Streamlit, Snowflake Cortex, and Datadog or enterprise monitoring tools.
- Experience with dbt, Matillion, Fivetran, Striim, and Control-M.
- Strong troubleshooting, root-cause analysis, and production support experience.
- SnowPro Core Certification is required.
- SnowPro Advanced Administrator or Architect Certification is preferred.
- Experience with AI/ML enablement, Snowflake Cortex, AI agents, governance automation, and highly regulated SOX/SOC audit environments.
Benefits
- Meaningful technology projects addressing real-world challenges.
- Continuous learning through internal academies, certifications, mentorship, and digital learning platforms.
- Collaborative, diverse, and inclusive work environment.
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.