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Tech Lead (DaaS)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Tech Lead (DaaS) (Snowflake/Databricks/Redshift): Leading technical implementation and client data delivery solutions for a high-volume Data as a Service platform with an accent on cloud data platforms, integrations, and production support. Focus on troubleshooting complex database and infrastructure issues, mentoring Configurators, and coordinating cross-functional teams during EST business hours.
Location: Mexico City, Mexico; EST business hours coverage required from 8:00 AM to 5:00 PM EST, with occasional on-call support.
Company
provides clinical research services, commercial insights, and healthcare intelligence for the life sciences and healthcare industries.
What you will do
- Lead technical implementation activities for client data delivery solutions on the DaaS platform.
- Design, implement, support, and review client data delivery processes and configurations.
- Provide technical guidance, mentoring, and oversight to Configurators.
- Partner with Project Managers and participate in client meetings, technical discussions, and solution reviews.
- Troubleshoot complex database, infrastructure, connectivity, integration, and production issues as a Tier 3 escalation point.
- Coordinate with Product, Architecture, and Engineering teams to resolve platform issues and improve delivery standards.
Requirements
- Hands-on experience with Snowflake, Databricks, and Redshift.
- Experience with AWS and Azure cloud platforms, SFTP, databases, data integration, and enterprise data delivery environments.
- Experience troubleshooting infrastructure, connectivity, and production issues.
- Proven leadership, mentoring, stakeholder management, and client-facing communication skills.
- English proficiency at C1+ level is required.
- Availability for EST business hours coverage from 8:00 AM to 5:00 PM EST is required.
Nice to have
- Experience with GCP.
- Knowledge of pharmaceutical data and datasets.
- Experience in client-facing consulting, technical delivery, or data engineering environments.
Culture & Benefits
- Client-facing work with significant interaction across internal and external stakeholder groups.
- High-volume delivery environment supporting multiple concurrent projects.
- Occasional on-call or after-hours support for critical production issues.
- Opportunity to document best practices, share technical knowledge, and support continuous process improvement.
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