4 дня 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 work from home or a shared workspace. Up to 25% travel may be required depending on business needs.
Compensation: Pay in USD.
Company
is an AI-first cloud services company and AWS Premier Tier Services Partner specializing in cloud modernization, artificial intelligence, data platforms, DevOps, security, and managed services.
What you will do
- Lead architectural design for Databricks-based data platforms and modernization programs, including workspace consolidation, access models, and configuration-as-code.
- Design high-volume batch and real-time streaming pipelines with PySpark and Structured Streaming.
- Integrate Databricks Unity Catalog with third-party metadata repositories such as AWS Glue Catalog and Snowflake Horizon.
- Build ConfigOps, CI/CD, automation, governance guardrails, certified data products, semantic layers, and lineage capabilities.
- Ensure scalability, security, cost efficiency, and production readiness of platform components.
- Communicate architecture decisions, create documentation and roadmaps, and work directly with client business and engineering stakeholders.
Requirements
- 6+ years of experience in data engineering, database engineering, or architecture roles.
- 3+ years designing cloud-based data solutions and working in the AWS data landscape.
- 3+ years of hands-on Databricks experience, including Unity Catalog, lakehouse patterns, orchestration, governance, Spark tuning, clusters, and Delta Lake.
- Experience with modern data platform architecture, distributed processing, streaming, cloud-native databases, security, networking, and automation.
- Experience with Terraform, migration and modernization strategies, schema evolution, HA/DR, cutover planning, risk mitigation, and FinOps-oriented design.
- Advanced English, minimum C1, is required.
Nice to have
- Experience leading, developing, and mentoring delivery teams.
- Experience building agent-driven or self-service data platform capabilities.
Culture & Benefits
- 100% remote work from Argentina, with the option to work from home or a shared workspace.
- Generous holidays and unlimited flexible PTO.
- Paid exams and certifications.
- Professional development plan, peer bonus awards, and equipment and office stipend.
- State-of-the-art laptop and tools.
- Visa sponsorship is not available now or in the future.
Hiring process
- Applications may be screened and evaluated with AI or automated tools in accordance with applicable laws.
- Final hiring decisions are made by trained recruitment professionals.
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