Senior Data Platform Engineer: GenAI, MLOps & Data Mesh

Information Technology Senior Management Forum; Spring (TX); On-site; USD 105,000 - 162,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Long term and short term disability

Employee assistance program

Flexible spending account

Life insurance

Parental leave (4-12 weeks, tenure)

11 paid holidays

Additional flexible paid vacation and/

Job summary

Information Technology Senior Management Forum is seeking a senior data engineering leader to shape enterprise data platforms and pipelines for analytics and AI/ML outcomes. You will mentor staff, set governance standards, and drive data mesh, medallion, and GenAI-ready architectures to enable scalable, secure data delivery.

The role emphasizes collaboration with cross-functional partners and delivering high-quality data pipelines for batch, streaming, and real-time workloads.

Qualifications

• A four-year or graduate degree in a relevant field.
• 7–10 years of work experience in analytics, data science, or related field.
• Strong experience with cloud platforms: AWS, Azure.
• Strong experience with Data Lakes, Lakehouse, Data Warehousing.
• Strong experience with ETL/ELT and pipeline orchestration.
• Python and SQL proficiency (mandatory).
• Scala/Java a plus.
• Experience with streaming and real-time data systems.
• Experience with data modeling and governance.
• Experience with MLOps and model deployment pipelines.
• Experience with modern architectures: Data Mesh, Medallion, API-driven data services.

Responsibilities

• Lead the data engineering team supporting projects and coordinate with partners to align deliverables.
• Develop solutions for complex deals and contribute to enterprise solution design.
• Oversee design, development, and maintenance of databases.
• Resolve critical incidents, produce data models, and lead model conversion.
• Provide expert guidance and mentor junior staff to boost team effectiveness.
• Create an enterprise-wide blueprint for data storage, integration, access, and governance.
• Manage platforms enabling downstream insights and solutions.
• Design data warehouses and data lakes meeting quality requirements.

Skills

Agile Methodology

Effective Communication

Digital Fluency

Data Analysis

Data Architecture

Education

Four-year or Graduate Degree

Tools

AWS

Azure

Apache Spark

ETL/ELT

Data Mesh

Medallion

API-driven data services

NoSQL

Python

SQL

Java

MLOps

Job description

Information Technology Senior Management Forum is seeking a senior data engineering leader to shape enterprise data platforms and pipelines for analytics and AI/ML outcomes. You will mentor staff, set governance standards, and drive data mesh, medallion, and GenAI-ready architectures to enable scalable, secure data delivery.

The role emphasizes collaboration with cross-functional partners and delivering high-quality data pipelines for batch, streaming, and real-time workloads.