Lead Data Engineer: Cloud Data Pipelines & Architecture

NucleusTeq; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

NucleusTeq in the United States is seeking a senior data architect to design scalable, high-performance data solutions and lead a team of data engineers across complex cloud projects.

You will drive architectural decisions, ensure data governance and security, and collaborate with cross-functional teams to deliver end-to-end data platforms using GCP, Apache Airflow, and modern data warehousing techniques.

Qualifications

• Strong hands-on Java development experience.
• Expert SQL and Big Data technologies.
• Hands-on with Google Cloud Platform (GCP).
• Experience with Apache Airflow for workflow orchestration.
• Understanding of distributed data architectures and systems.
• CI/CD pipeline experience.
• Data warehousing and ETL process experience.
• Excellent leadership and stakeholder management.

Responsibilities

• Design and architect scalable, high-performance data solutions.
• Lead and mentor a team of data engineers.
• Build and optimize large-scale data pipelines.
• Drive architectural decisions and technical strategy.
• Ensure data quality, governance, and security best practices.
• Collaborate with cross-functional teams for end-to-end delivery.

Skills

Java

SQL

Big Data

GCP

Apache Airflow

Distributed systems

CI/CD

Data warehousing

Tools

Dataflow (Apache Beam)

Job description

NucleusTeq in the United States is seeking a senior data architect to design scalable, high-performance data solutions and lead a team of data engineers across complex cloud projects.

You will drive architectural decisions, ensure data governance and security, and collaborate with cross-functional teams to deliver end-to-end data platforms using GCP, Apache Airflow, and modern data warehousing techniques.