Data Tech Lead

Govserviceshub; Alpharetta (GA); On-site; USD 120,000 - 150,000; Full time

Job summary

A technology services company in Alpharetta is seeking an experienced Data Tech Lead. This role involves overseeing data engineering projects, optimizing data applications using Java and Python, and leading a team to deliver scalable data solutions. The ideal candidate will have over 10 years of experience in software and data engineering, with expertise in Spark and Hadoop technologies.

Qualifications

• 10+ years of experience in software and data engineering.
• Experience in building and optimizing applications using Java and Python.
• Deep understanding of Apache Spark for data processing.

Responsibilities

• Build and optimize data processing applications using Java and Python.
• Lead a team of developers in data engineering projects.
• Design and optimize Spark-based solutions for data tasks.

Skills

Python

Spark

Hadoop

Cloud (AWS/Azure/GCP)

Job description

Alpharetta, United States | Posted on 10/29/2025

Mandatory Areas

• Must Have Skills –
• Skill 1 – Yrs of Exp – Python
• Skill 2 – Yrs of Exp – Spark
• Skill 3 – Yrs of Exp – Hadoop
• Skill 4 – Yrs of Exp - Cloud (AWS/Azure/GCP)

Position Summary

We are seeking an experienced Data Tech Lead with strong hands‑on expertise in data engineering and large‑scale data processing applications. The ideal candidate will have extensive experience in Java and Python development, combined with proven leadership in guiding teams to deliver efficient and scalable data solutions.

Key Responsibilities

• Build and optimize data processing applications using Java and Python.
• Lead a team of developers in data engineering projects, providing technical guidance and oversight.
• Design, develop, and optimize Spark‑based solutions for large‑scale data tasks.
• Oversee the development of efficient, reliable, and high‑performing data pipelines.
• Manage and support the implementation of Hadoop, HDFS, and other cloud BigData technologies.
• Ensure best practices in coding, testing, and deployment for all data engineering initiatives.

Requirements

• 10+ years of overall professional experience in software and data engineering.
• Hands‑on experience in building and optimizing data processing applications using Java and Python.
• Deep understanding of Apache Spark for large‑scale data processing and optimization.
• Comprehensive knowledge of Hadoop, HDFS, and cloud‑based Big Data technologies.
• Proven experience in leading and mentoring teams of developers to deliver end‑to‑end data solutions.