Team Lead - Data Engineer (Java, GCP, Big Data, SQL)
NucleusTeq — Data engineering and cloud
About the role
Position: Team Lead – Data Engineering
We are looking for an experienced Team Lead / Architect – Data Engineer to design, architect, and lead scalable cloud-based data platforms. Key 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.
Required Skills:
Strong hands-on experience in Java .
Strong expertise in SQL and Big Data technologies.
Hands-on experience with Google Cloud Platform (GCP).
Experience with Apache Airflow for workflow orchestration.
Strong understanding of distributed systems and data architecture.
Experience in CI/CD pipelines (mandatory).
Experience in data warehousing and ETL processes.
Excellent leadership and stakeholder management skills.
Good to Have:
Experience with Dataflow (Apache Beam).
Experience designing enterprise-level data platforms.
Exposure to DevOps best practices.
Why Join Us?
Work on cutting-edge cloud data projects.
Leadership opportunity with high ownership.
Dynamic and growth-oriented work environment.
What the index says about this role
- First seen by JobLarper — Aug 2, 2026, 6 days ago. Older postings collect hundreds of applicants — a tailored résumé matters more the longer a role has been live.
- What Data Engineer roles ask for — across 450 indexed openings: SQL (64%), Python (63%), Cloud (46%), REST/APIs (40%), ML (31%). This posting names SQL, Cloud, React Native.
- NucleusTeq is hiring actively — 9 open roles indexed.
Derived from the 27,000 roles JobLarper indexes daily from official company boards — not from the job description above.
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