About the role

You will architect and build scalable real-time data ingestion and transformation pipelines using Kafka and cloud technologies. Additionally, you will define canonical domain models, implement governance frameworks, and mentor junior engineers on best practices.

What they look for

Data Architecture Data Engineering Change Data Capture Kafka AWS MSK Cloud Platforms Azure AWS Data Quality Governance CI/CD Data Modeling Streaming Pipelines SQL Distributed Computing AWS Flink

Requirements

Candidates must have over 7 years of experience in data architecture and 5 years in hands-on data engineering. Expertise in CDC, streaming technologies, and cloud platforms like AWS or Azure is required.

Full description

About This Opportunity

CTI Staffing is partnering with a leading transportation and logistics organization to find a Senior Data Engineer / Data Architect for their operational data platform team, based in the Dallas/Fort Worth area.

This team is modernizing how operational data moves across the business, replacing legacy batch processes with real-time streaming pipelines that keep critical systems in sync. You'll design the domain models and governance frameworks that make this modernization possible, while also building the pipelines yourself. This is a hands-on architecture role, not a whiteboard-only position.

What You'll Do

Architect scalable data ingestion and transformation pipelines for large-scale operational systems

Build CDC and streaming solutions using Kafka or AWS MSK for real-time data synchronization

Implement canonical domain models and governance frameworks across cloud platforms

Establish data quality standards and monitoring practices

Partner with cross-functional teams to define data requirements and integration strategy

Lead CI/CD implementation for data infrastructure and pipeline deployments

Mentor junior engineers on data architecture and engineering best practices

Requirements

What You Bring

Must-Have:

7+ years of professional experience in data architecture and design

5+ years of hands-on data engineering experience

Demonstrated expertise in CDC (Change Data Capture) and streaming technologies

Proficiency with Kafka or AWS MSK

Strong experience with cloud platforms — Azure and/or AWS

Proven expertise in data quality frameworks and governance practices

Experience implementing and maintaining CI/CD pipelines for data infrastructure

Strong cross-team collaboration and communication skills

Nice-to-Have:

Experience with AWS Flink for stream processing

Knowledge of DocumentDB or other NoSQL document databases

Familiarity with GraphQL for data API design

Cross-cloud integration experience

Background in data mesh or domain-driven design patterns

Technical Environment:

Cloud: Azure, AWS

Streaming: Kafka, AWS MSK, AWS Flink (preferred)

Data modeling and governance tooling

CI/CD pipelines for data infrastructure

SQL and distributed computing frameworks (Spark or similar)

What Success Looks Like:

Real-time CDC pipelines running in production within the first 3-6 months

Canonical domain models established with clear governance ownership

Junior engineers actively mentored on architecture and engineering standards