Data Platform Lead — Trading & Freight (Contract)

Engineers and Constructors International Inc.; Georgia; On-site; USD 140,000 - 170,000; Full time

Job summary

Engineers and Constructors International Inc. is seeking a Sr Data Tech Lead for the Trading and Supply Freight Data Platform on a Houston-based contract. The role covers end-to-end leadership across architecture, governance, and capability development, with a focus on high-volume data delivery and cost optimization.

The candidate will drive data ecosystems, roadmaps, and stakeholder engagement, leveraging AI-augmented pipelines and modern data tools to enable scalable, reliable data solutions.

Qualifications

• Extensive experience in data engineering and analytics platforms.
• Strong SQL, Python, and Spark/Scala capabilities.
• Experience with Azure data stack and Databricks required.
• Knowledge of data governance and metadata management.

Responsibilities

• Lead data architecture, governance, and capability development across platforms.
• Define data product roadmaps and drive data solution development.
• Oversee data modelling, performance tuning, and data quality controls.
• Guide CI/CD, deployment, and orchestration for data pipelines.
• Collaborate with PMs, BAs, and stakeholders to align data initiatives.

Skills

Azure Data Engineering

SQL

Python

Spark/Scala

Databricks

Data Modeling

CI/CD

Kubernetes

Docker

Data Governance

Leadership

Stakeholder Mgmt

Education

Bachelor's degree in Computer Science or related field

Tools

SAP PowerDesigner

WizDesign

Unity Catalog

Job description

Engineers and Constructors International Inc. is seeking a Sr Data Tech Lead for the Trading and Supply Freight Data Platform on a Houston-based contract. The role covers end-to-end leadership across architecture, governance, and capability development, with a focus on high-volume data delivery and cost optimization.

The candidate will drive data ecosystems, roadmaps, and stakeholder engagement, leveraging AI-augmented pipelines and modern data tools to enable scalable, reliable data solutions.