Data Engineer (Azure, Fabric, Databricks)
# Data Engineer (Azure, Fabric, Databricks) **Collectiv** · United States · `Remote` · `Full Time` 💼 **Уровень роли:** `Mid-level` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Data-Engineer]` `[Analytics-Engineer]` `[Data-Platform-Consultant]` `[Azure-Data-Engineer]` `[Business-intelligence-Engineer]` `[Microsoft-Fabric-Data-Engineer]` `[Data-Engineering-(Azure)]` `[Azure-Data-Platform-Engineer]` `[Azure-Data-Factory-Engineer]` --- ### About the Role Role Overview The Data Engineer is responsible for designing, implementing, and supporting modern data platforms using Microsoft Fabric and Databricks , with a strong emphasis on lakehouse architecture, analytics engineering, and semantic modeling. This role is client-facing and requires translating business requirements into scalable technical solutions while adhering to data engineering best practices. You will collaborate with client stakeholders, Collectiv consultants, and cross-functional teams to deliver data platforms that support reporting, advanced analytics, and self-service BI. Key Responsibilities Client Delivery & Solution Design - Design and implement modern data platforms leveraging Microsoft Fabric (OneLake, Lakehouse, Data Factory, Power BI) and Databricks (Spark, Delta Lake, SQL Warehouses) - Build and optimize data ingestion, transformation, and orchestration pipelines using ELT/ETL best practices - Develop scalable lakehouse architectures that support analytics, reporting, and downstream data products - Translate business and analytical requirements into technical designs and data models Analytics & BI Enablement - Develop and maintain semantic models that enable performant reporting and self-service analytics - Partner with analytics and business teams to deliver trusted datasets and dashboards (Power BI or equivalent) - Ensure data quality, reliability, and usability across the analytics platform Engineering Best Practices - Write, optimize, and tune SQL and Spark-based transformations for large-scale analytical workloads - Apply version control, CI/CD concepts, and code review standards to data engineering workflows - Ensure solutions meet quality criteria related to performance, scalability, and maintainability Consulting & Collaboration - Work directly with client stakeholders to gather requirements, communicate technical concepts, and manage expectations - Collaborate with project managers, architects, and fellow consultants to align technical delivery with project goals - Contribute to internal documentation, reusable patterns, and knowledge sharing across Collectiv Required Qualifications - Bachelor's degree from an accredited university - 4+ years of experience in data engineering, analytics engineering, or data platform consulting - Hands-on experience with Microsoft Fabric and/or Databricks in production environments (experience with both strongly preferred) - Strong SQL skills, including performance tuning and optimization - Experience designing data models for analytics (star schemas, semantic models, lakehouse patterns) - Experience working in cloud data platforms (Azure preferred) - Ability to work independently in a client-facing consulting role Preferred Qualifications - Experience migrating or modernizing data platforms (e.g., legacy DW to lakehouse) - Familiarity with Power BI dataset modeling and performance optimization - Experience integrating data platforms with downstream applications or APIs - Consulting experience with multiple clients or industries - Strong written and verbal communication skills - Relevant Azure certifications (e.g., Azure Solutions Architect, Azure Data Engineer), Fabric (DP-600, DP-700) certifications, and Databricks certifications are highly desirable What Success Looks Like in This Role - Clients trust you as a technical advisor for their data platform decisions - Delivered solutions are scalable, well-documented, and aligned to best practices - Business users are enabled through reliable data models and analytics-ready datasets - You actively contribute to Collectiv ’s data platform standards and consulting excellence Join Collectiv for a rewarding career in a fully remote work environment with quarterly in person team experiences and a competitive compensation. We provide a clear growth trajectory with professional development opportunities and a top-shelf benefits package. Enjoy unlimited time off and 100% covered health insurance, encompassing medical, dental, and vision plans for you and your family. Our comprehensive offerings, from a competitive 401(k) with a 4% match to educational assistance, tech stipend, and discounts on various goods and services, demonstrate our commitment to your well-being and success. At Collectiv , your career thrives with a perfect blend of remote flexibility, growth potential, and unparalleled benefits prioritizing your financial, physical, and emotional well-being. Collectiv is the leading boutique consulting and strategy firm specializing in Analytics, Planning and AI with Power BI and the Microsoft Data Stack. Our mission at Collectiv is simple: We help enterprises make better decisions. Our Core Values: Growth Mindset – Bring solutions, not problems. Excel with Humility – Be humbly brilliant. Communicate Actively and Empathetically – Listen, ask, understand, help. Work Hard, Play Hard – Results are proportional to effort. Keep Calm and Carry On – Stay cool, calm and Collectiv . Originally posted on Himalayas
- Data-Engineer
- Analytics-Engineer
- Data-Platform-Consultant
- Azure-Data-Engineer
- Business-intelligence-Engineer
- Microsoft-Fabric-Data-Engineer
- Data-Engineering-(Azure)
- Azure-Data-Platform-Engineer
- Azure-Data-Factory-Engineer
Наблюдалась 2026-10-19, впервые 2026-10-19, источник — Himalayas (JSON API).