Devoteam
Devoteam
Devoteam tashkilotlarga texnologiyalarini modernizatsiya qilish va biznes transformatsiyasini qo‘llab-quvvatlashda yordam beradigan ko‘p millatli texnologik konsalting kompaniyasidir. Kompaniya faoliyati sun’iy intellekt, boshqariladigan bulut xizmatlari, bulutga mos arxitektura va kiberxavfsizlik yo‘nalishlarini qamrab oladi. Uning yechimlari IT operatsiyalarini yaxshilash va barqaror raqamli o‘zgarishlarni amalga oshirish uchun ishlab chiqilgan. Devoteam AWS, Google Cloud va Microsoft kabi yetakchi texnologiya provayderlari bilan hamkorlik qilib, konsalting, sog‘liqni saqlash, marketing va boshqa sohalardagi mijozlarga xizmat ko‘rsatadi.

Databricks Data Architect (Remote, Spain)

Design secure, AI-ready Lakehouse platforms for Devoteam clients using Databricks. Modernize legacy data systems across cloud and multi-cloud environments.

Tavsif

  • Design Lakehouse and Delta Lake architectures across cloud and multi-cloud environments
  • Build and tune ETL/ELT pipelines with Apache Spark, Structured Streaming, and Lakeflow Declarative Pipelines
  • Establish data governance, security, and lineage controls with Unity Catalog
  • Set AI governance policies using Unity Gateway
  • Create platforms for machine learning, generative AI, and advanced analytics with MLflow and Databricks Genie
  • Improve Databricks performance and control costs through FinOps practices
  • Contribute to data platform modernization and migrations to Lakehouse architectures
  • Guide clients in applying Databricks best practices
  • Work closely with technical and business teams

Talablar

  • Bring substantial experience in data architecture and designing Databricks solutions
  • Have deep knowledge of Apache Spark, Delta Lake, Unity Catalog, and Photon
  • Have experience with Azure, AWS, or Google Cloud Platform
  • Understand cloud infrastructure, networking, storage, and IAM security
  • Have experience designing ETL/ELT pipelines and data processing solutions
  • Know data governance, performance optimization, and Lakehouse architectures
  • Communicate clearly, work independently, and maintain a customer-focused approach
  • Be fluent in written and spoken English and Spanish
  • Hold a degree in Computer Science or Information Systems, or have equivalent professional experience
  • Have experience with Lakeflow, MLflow, Genie, or Unity Gateway
  • Know generative AI and machine learning
  • Have experience migrating legacy data platforms to Databricks
  • Know FinOps and cloud cost optimization
  • Hold a Databricks Data Engineer Professional certification or Platform Architect accreditation

Imtiyozlar

  • Annual performance bonus tied to individual, team, and company goals
  • Flexible benefits package covering transport, childcare, training, health insurance, and meals
  • Employee discounts
  • Physiotherapy services
  • Free English classes
  • Career development opportunities
  • Access to training and certifications
  • Annual performance reviews
  • Fully remote work model

O‘xshash ish o‘rinlari

Intetics

ML Data Engineer, Romania Remote

Intetics

Build real-time, graph, and time-series data infrastructure for athlete performance. Support machine learning evaluation and AI systems for an Intetics customer in the United States.

Ochish