Senior Data Platform Engineer — AI-Driven Data Products

H & A Resources, LLC; Austin (TX); On-site; USD 140,000 - 180,000; Full time

Job summary

H & A Resources, LLC is seeking a Senior Data Engineer to join our team and help build a next-generation data and analytics platform with a data warehouse–first, AI-centric operating model.

You will own system and data architecture, work closely with the Head of Data & Analytics, and contribute hands-on to data acquisition, modeling, governance, and productization across operational, revenue, and strategic use cases. This role emphasizes proactive, reusable capabilities.

Qualifications

• Senior-level experience designing and building modern data platforms with hands-on data engineering.
• Strong involvement in system, technical and data architecture decisions.
• Able to translate architecture decisions into working implementations.
• Experience with cloud data warehouses, ELT, data modeling, orchestration, testing, and data ops.
• Experience turning architectural decisions into durable, scalable products.

Responsibilities

• Own system and data architecture within the data platform.
• Collaborate with Head of Data & Analytics to shape data acquisition, integration, modeling and governance.
• Lead the build of AI-enabled capabilities into data products and operating model.
• Balance real-time vs. batch data strategies and warehouse-mediated patterns.
• Produce reusable capabilities and documentation for broader team use.

Skills

Data engineering

Cloud data warehouses

ELT patterns

Data modeling

Architectural design

Hands-on coding

AI capabilities

Documentation

Collaboration

Production data ops

Tools

Airflow

Job description

H & A Resources, LLC is seeking a Senior Data Engineer to join our team and help build a next-generation data and analytics platform with a data warehouse–first, AI-centric operating model.

You will own system and data architecture, work closely with the Head of Data & Analytics, and contribute hands-on to data acquisition, modeling, governance, and productization across operational, revenue, and strategic use cases. This role emphasizes proactive, reusable capabilities.