обновлено 12 дней назад
Senior Data Architect - Databricks Platform (Databricks)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Architect - Databricks Platform (Databricks): Designing and hardening enterprise-scale Databricks data platforms for client engagements with an accent on lakehouse architecture, governance, automation, and AWS-native patterns. Focus on building scalable batch and streaming pipelines, integrating Unity Catalog with metadata repositories, and establishing CI/CD, FinOps, and security guardrails for governed self-service data products.
Location: Argentina; 100% remote. Up to 25% travel may be required depending on business needs.
Company
AI-first cloud services provider helping organizations modernize technology and build intelligent products through AWS, artificial intelligence, data platforms, cloud-native development, and managed services.
What you will do
- Lead architecture for enterprise-scale Databricks data platforms, workspace consolidation, permission models, and configuration-as-code patterns.
- Design high-volume batch and real-time streaming pipelines with PySpark and Structured Streaming.
- Integrate Databricks Unity Catalog with metadata repositories such as AWS Glue Catalog and Snowflake Horizon.
- Implement ConfigOps, CI/CD, infrastructure automation, governance guardrails, certified data products, semantic layers, and lineage.
- Ensure scalability, security, cost efficiency, and production readiness across AWS and Databricks environments.
- Communicate architectural decisions, create roadmaps and documentation, and guide client and delivery teams.
Requirements
- 6+ years of experience in data engineering, database engineering, or architecture roles.
- At least 3 years designing cloud-based data solutions, working with AWS data services, and using Databricks hands-on.
- Experience with modern data platform architecture, lakehouse patterns, Unity Catalog, Spark, Delta Lake, orchestration, governance, and access controls.
- Expertise in distributed processing, streaming, database migration and modernization, OLTP/OLAP design, schema evolution, HA/DR, security, and performance tuning.
- Experience with Terraform, infrastructure automation, FinOps, cost estimation, and cloud-native database architecture.
- Advanced English at C1 level and current legal authorization to work in Argentina are required. Visa and work permit sponsorship is not available.
Nice to have
- Experience building agent-driven or self-service data platform capabilities.
- Background in mentoring delivery teams and facilitating discussions with business and technical stakeholders.
Culture & Benefits
- Fully remote work from home or a shared workspace.
- Generous holidays and unlimited flexible PTO.
- Paid exams and certifications, plus an individual professional development plan.
- Peer bonus awards, modern equipment, and an equipment and office stipend.
- Collaboration with a worldwide team in an inclusive, technology-focused environment.
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