Hybrid Tech Lead - Data Engineering & Platform Architect

Brooksource

Charlotte (NC)

Hybrid

USD 120,000 - 150,000

Full time

14 days+
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Job summary

A leading technology firm in Charlotte, NC seeks a Technical Lead – Data Engineering to provide hands-on leadership across their data engineering platform. The successful candidate will have over 8 years of experience with expertise in AWS Glue, Python, and Kafka for building scalable data solutions. This role involves ensuring the reliability and performance of data pipelines while mentoring engineers. A hybrid work model is available with 3 days onsite and 2 days remote.

Qualifications

  • 8+ years of experience in data engineering or backend data platform development.
  • 3+ years in a senior or technical leadership role with shared architectural ownership.
  • Expert-level experience with AWS Glue (PySpark), Python, and distributed data processing.
  • Experience with Kafka and streaming architectures.
  • Hands-on experience implementing and supporting AWS DMS Batch and CDC pipelines.

Responsibilities

  • Act as a hands-on technical leader for the Data Engineering area.
  • Help design, evolve, and maintain scalable, fault-tolerant architectures for data pipelines.
  • Share ownership of platform reliability, scalability, and performance.
  • Ensure pipelines support reconciliation, auditability, and observability.

Skills

AWS Glue (PySpark)
Python
Kafka
AWS DMS
AWS Lambda
Amazon Aurora PostgreSQL
Distributed data processing
SQL

Tools

AWS Glue
Kafka
AWS DMS
AWS Lambda
Amazon Aurora

Job description

A leading technology firm in Charlotte, NC seeks a Technical Lead – Data Engineering to provide hands-on leadership across their data engineering platform. The successful candidate will have over 8 years of experience with expertise in AWS Glue, Python, and Kafka for building scalable data solutions. This role involves ensuring the reliability and performance of data pipelines while mentoring engineers. A hybrid work model is available with 3 days onsite and 2 days remote.
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