Data Engineering Lead

Ampcus, Inc; Irving (TX); On-site; USD 140,000 - 180,000; Full time

Job summary

Ampcus Inc in Irving, TX is seeking a Data Engineering Lead to drive architecture, design, and optimization of scalable data pipelines and cloud-native data solutions. The ideal candidate will bring extensive experience with Python, AWS data services, real-time processing, and large-scale enterprise platforms.

You will collaborate with Principal Software Engineers, Data Architects, and cross-functional stakeholders to deliver reliable data engineering solutions and establish testing and data

Qualifications

• Bachelor's degree in CS/CE or related field.
• 8+ years of experience in data engineering with increasing responsibility.
• Experience with large-scale enterprise data platforms (Helios Data Platform).
• Strong Python development for production environments.
• Proven leadership of data pipelines teams.
• Hands-on with AWS data services: Kinesis, S3, DynamoDB, EventBridge.
• Strong SQL and data quality practices.
• Experience with CI/CD tools: Azure DevOps, Jira, Jenkins.
• Experience building microservices for real-time ingestion.
• Experience with relational and NoSQL databases.
• Understanding of data integrity across distributed/ streaming systems.

Responsibilities

• Define and establish solution architecture with principal engineers.
• Design and optimize scalable data pipelines and Python microservices.
• Develop cloud-native data ingestion and streaming with AWS services.
• Own data integration frameworks and source pipelines for CI Autonomy.
• Collaborate with business and engineering to translate requirements into designs.
• Establish automated testing and data quality controls for data integrity.
• Monitor performance and conduct root-cause analysis of production data platforms.
• Ensure high availability and reliability of enterprise data platforms.

Skills

Python production

AWS data services

Data pipelines design

CI/CD tooling

Microservices for data

Data quality and validation

SQL skills

Observability/Monitoring

Education

Bachelor's degree in Computer Science / Computer Engineering or related field

Tools

Azure DevOps

Jira

Jenkins

Kinesis

S3

DynamoDB

EventBridge

Job description

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Job Title: Data Engineering Lead

Location(s): Irving, TX
Job Summary
We are seeking an experienced Data Engineering Lead to drive the architecture, design, development, and optimization of scalable data pipelines and cloud-native data solutions. The ideal candidate will have extensive experience in Python, AWS data services, real-time data processing, microservices, and large-scale enterprise data platforms.

The candidate will collaborate with Principal Software Engineers, Data Architects, and cross-functional stakeholders to deliver reliable, high-performance data engineering solutions.

Key Responsibilities

• Collaborate with Principal Software Engineers and Data Architects to define and establish solution architecture.
• Lead the design and optimization of scalable data pipelines and Python-based microservices supporting real-time and batch data processing across enterprise platforms.
• Drive the development of cloud-native data ingestion and streaming solutions using AWS services, including Kinesis, S3, DynamoDB, EventBridge, and related technologies.
• Own the design, implementation, and operational excellence of data integration frameworks and source data pipelines supporting CI Autonomy initiatives.
• Partner with business, product, and engineering stakeholders to translate complex requirements into scalable data architectures, workflows, mappings, and system designs.
• Establish automated testing, data quality controls, and validation frameworks to ensure data integrity, reliability, and compliance across distributed data ecosystems.
• Lead operational monitoring, performance tuning, and root-cause analysis of production data platforms using observability tools such as AWS CloudWatch.
• Ensure high availability, scalability, and operational reliability of enterprise data platforms.

Required Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or a related field.
• 8+ years of experience in data engineering or related disciplines, with increasing levels of responsibility.
• Extensive experience with modern, large-scale, complex enterprise data platforms, such as Helios Data Platform.
• Strong foundation in developing and deploying Python solutions in production environments.
• Experience leading teams in building high-throughput, scalable data pipelines.
• Strong hands‑on experience with AWS data services, including:
• Amazon Kinesis
• Amazon S3
• Amazon DynamoDB
• Amazon EventBridge
• Strong SQL skills, including data quality management and validation practices.
• Experience deploying software using CI/CD tools such as Azure DevOps, Jira, and Jenkins.
• Experience developing microservices supporting real-time data ingestion.
• Experience developing software applications using relational and NoSQL databases.
• Strong understanding of data integrity across distributed and streaming systems.
• Experience with monitoring, testing, and automation in large-scale data environments.

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.