Job description
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
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.