- CTI Consulting
- Dallas, TX
- Contract
- 53 days ago
Senior Data Engineer.
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Senior Data Engineer: our view in 3 lines...
- The Role:Senior data engineer and data architect needed to modernize operational data platforms for a transportation and logistics organisation.
- The Person:The person will architect ingestion and transformation pipelines, build CDC and streaming solutions, implement domain models and governance frameworks, establish data quality standards, define data requirements, lead CI/CD implementation, and mentor junior engineers.
- Requirements:The ideal candidate has 7+ years of professional experience in data architecture and design, 5+ years of hands-on data engineering experience, and expertise in CDC, streaming technologies, Kafka or AWS MSK, Azure and/or AWS, data quality frameworks, governance practices, CI/CD pipelines, AWS Flink, DocumentDB, GraphQL, data mesh, domain-driven design, SQL, and Spark.
About the role
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
