DEVELOPMENT

Senior Data Engineer (Cloud Architecture & Consulting)

Preferable Location(s): Philadelphia, United States of America | Minneapolis, United States of America | Houston, United States of America | Denver, United States of America | Chicago, United States of America | Charlotte, United States of America
Work Type: Full Time
Dear applicants, please keep in mind that applications without provided salary expectations and active LN profile will not be considered. 
Hope for your understanding.

Senior Data Engineer (Cloud Architecture & Consulting)
Location: Fully Remote – United States
(Minneapolis, Philadelphia, Houston, Denver, Chicago, Charlotte
Employment Type: Full-Time

Client is a  boutique Data & AI consultancy delivering enterprise-grade data platforms and analytics solutions for mid-market and enterprise clients. The company specializes in: Modern cloud data platforms, Scalable data architectures, Analytics and governance frameworks, Enterprise-grade consulting delivery

About the Role
We are hiring a Senior Data Engineer to act as a technical leader across client engagements.
This is not just a pipeline-builder role.
This is an architectural and consulting leadership role.

You will:
  • Define end-to-end data architecture
  • Lead cloud-based data platform implementations
  • Optimize ETL/ELT workflows
  • Enforce governance and security standards
  • Mentor engineers
  • Act as a client-facing technical authority

What You’ll Own
  • Architecture design for scalable data pipelines
  • Cloud-based data platform implementations (AWS, Azure, GCP)
  • CI/CD and Infrastructure as Code for data systems
  • ETL/ELT workflow optimization
  • Dimensional data modeling
  • Data governance, security, and access controls
  • Client-facing technical leadership
  • Mentorship of data engineers

Must-Have Requirements
  • 7+ years Data Engineering experience
  • 5+ years working with cloud platforms (AWS, Azure, GCP)
  • Mastery of Python
  • Advanced SQL proficiency
  • Strong experience with CI/CD pipelines
  • Infrastructure as Code experience
  • Expertise in ETL/ELT optimization
  • Dimensional modeling expertise
  • Strong understanding of data security and governance
  • Consulting-level communication skills

Nice to Have
  • Snowflake, Databricks, Microsoft Fabric
  • Multi-cloud architecture experience
  • TypeScript / JavaScript / Java exposure
  • Experience leading distributed teams

Submit Your Application

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