Principal Data Engineer: Platform Architect and Leader

TaskVerse; United States; On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Salary package

Health insurance

Training & certs

Conferences

Flexible hours

Paid time off

Wellness program

Job summary

Continuus Technologies LLC is seeking a Principal Data Engineer to shape our data architecture and lead scalable, secure data platforms. You will define standards for modeling, reliability, and governance while guiding complex migrations and upgrades.

You will mentor senior engineers, drive best practices, and collaborate with executives to align data strategy with business goals, including real-time analytics and ML initiatives.

Qualifications

• Bachelor's degree or higher in Computer Science, Engineering, or a related field.
• Minimum of 10 years hands-on data engineering experience building large-scale data platforms.
• Expertise in SQL and proficiency in Python or similar languages.
• Experience with data warehousing, data lakes, distributed systems; strong architectural skills.

Responsibilities

• Define and evolve the data architecture and technical vision for scalable platforms.
• Lead platform migrations, system upgrades, and performance improvements.
• Mentor engineers, drive best practices, and partner with leadership on data strategy.
• Oversee security, governance, privacy, and regulatory compliance in data platforms.

Skills

SQL

Python

Data warehousing

Data lakes

Distributed systems

Cloud platforms

Kafka

Spark

Flink

Data governance

Security & compliance

ML/AI initiatives

Education

Bachelor's degree in CS/Engineering or equivalent

Tools

AWS

Azure

GCP

Kafka

Spark

Flink

Job description

Continuus Technologies LLC is seeking a Principal Data Engineer to shape our data architecture and lead scalable, secure data platforms. You will define standards for modeling, reliability, and governance while guiding complex migrations and upgrades.

You will mentor senior engineers, drive best practices, and collaborate with executives to align data strategy with business goals, including real-time analytics and ML initiatives.