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Full timeTechnology

Principal Data Engineer

Continuus Technologies LLCGermantown, Wisconsin🇺🇸United States

Why this role stands out

As a Principal Data Engineer at Continuus Technologies, you'll shape the future of data architecture and tackle complex challenges, driving significant impact across the organization. This hybrid role is perfect for a seasoned engineer who thrives on technical leadership, mentoring others, and influencing strategic decisions within a reputable company. You'll have ample opportunity for growth and to elevate engineering excellence while enjoying the flexibility of a hybrid work environment.

Quick overview

SeniorityLeader
Employment typeFull Time
Work modeHybrid
LocationGermantown, Wisconsin, United States
GCPSQLAWSFlinkKafkaPythonAzure

Job description

Job Description Job Description Role Overview

The Principal Data Engineer is a senior technical authority responsible for defining the organization's data architecture, setting long-term technical strategy, and solving the most complex data engineering challenges. This role influences company-wide data standards, mentors senior engineers, and partners with executive and cross-functional leaders to ensure data platforms scale with the business.

Key Responsibilities

  • Define and evolve the long-term data architecture and technical vision

  • Design highly scalable, resilient data platforms and pipelines

  • Set standards for data modeling, reliability, observability, and governance

  • Lead complex, high-risk technical initiatives and migrations

  • Serve as the escalation point for critical data incidents and root cause analysis

  • Influence tool selection and technology adoption across the data stack

  • Mentor Staff and Senior Data Engineers and elevate engineering excellence

  • Partner with leadership to align data strategy with business goals

  • Ensure data platforms support analytics, ML, and product use cases at scale

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)

  • 10+ years of experience in data engineering or related disciplines

  • Expert-level SQL and strong proficiency in Python or similar languages

  • Deep experience with data warehousing, data lakes, and distributed systems

  • Proven track record of designing and operating large-scale data platforms

  • Strong systems thinking and architectural decision-making skills

Preferred Experience

  • Cloud platforms (AWS, Azure, or GCP)

  • Streaming and real-time systems (Kafka, Spark, Flink, etc.)

  • Advanced data governance, security, and compliance practices

  • Supporting ML, AI, or product-led data platforms

  • Influencing technical direction without direct managerial authority

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