Principal Engineer / Architect / SME - PE 1121 NP#01

Overview

Remote
Depends on Experience
Contract - W2
No Travel Required

Skills

Microsoft Azure
Sales
Startups
Thought Leadership
Enterprise Information Management
Google Cloud Platform
Collaboration
Data Engineering
Data Warehouse
Databricks
Good Clinical Practice
Amazon Web Services
Apache Hadoop
Artificial Intelligence
Cloud Computing
Migration

Job Details

Job Title: Principal Engineer / Architect

Position: Full-Time, Remote
Client Location: Princeton, NJ (company name withheld)


Role Overview

A rapidly growing Databricks consulting partner is seeking a Principal Engineer/Architect to help build one of the most impactful Data & AI practices in the industry. This role offers the opportunity to influence the Data & AI landscape for Fortune 500 enterprises and innovative startups while working on complex engagements involving cloud platforms such as AWS, Azure, Google Cloud Platform, and Databricks.

You will collaborate with some of the industry's leading experts, deepen your understanding of Databricks and adjacent technologies, lead large-scale data projects, develop best practices, and represent the organization at industry events. This position provides autonomy, flexibility, and significant influence in shaping both strategic and technical decisions.


Key Responsibilities

  • Lead a rapidly growing Data & AI practice

  • Recruit, train, and develop a diverse team of Data & AI specialists

  • Engage directly with customers and lead enterprise-scale Data & AI initiatives

  • Serve as a trusted SME ensuring delivery excellence across multiple engagements

  • Build reusable tools, accelerators, and packaged solutions

  • Provide thought leadership in data engineering, governance, transformations, and integration

  • Develop architectural blueprints, frameworks, and patterns to drive standardization

  • Support sales by influencing deals, scoping, solutioning, and effort estimation

  • Lead creation of reusable internal frameworks, accelerators, and product initiatives


Required Skills & Experience

  • Strong working knowledge of AWS, Azure, and Google Cloud Platform, with deep expertise in at least one

  • Ability to design and deploy high-performance end-to-end data architectures

  • Strong skills in integration, automation, and pipeline optimization

  • Demonstrated experience building reusable frameworks or packaged solutions

  • Ability to troubleshoot and optimize slow-running data pipelines

  • Experience migrating from legacy Hadoop or traditional data warehouses to modern cloud platforms


Preferred / Nice-to-Have Skills

  • Growth mindset with a passion for continuous learning

  • Prior experience in consulting (Big 4 or similar) is a plus

  • Experience leading large cloud data platform initiatives or enterprise information management programs

  • Highly motivated, creative, and effective at solving complex technical problems

  • Actively maintains and updates technical skillsets

  • Deep knowledge in data engineering with the ability to architect end-to-end solutions

  • Composed, resourceful, and confident when working under pressure

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.