Senior Data Engineer

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

The Senior Data Engineer will be a core member of the team building our next-generation data and analytics platform and advancing a data warehouse first, AI-centric operating model.

Working in close partnership with the Head of Data & Analytics and the broader data team, this person will own system and technical architecture and co-own data architecture—while remaining hands-on in building the platform. They will shape how data is acquired, integrated, modeled, governed, and productized across operational, revenue, and strategic use cases.

This is a product-building role, not a requirements-taking role. We expect the team to understand the business, anticipate what it will need next, and build reusable capabilities ahead of individual requests.

As part of their technical architecture ownership, this role will lead the build of AI-enabled capabilities into our data products and operating model, while also using AI to accelerate development. The objective is practical leverage: combining trusted data, strong engineering, and AI to expand what the team and business can accomplish.

Purpose

Purpose

• Senior-level experience designing and building modern data platforms, with strong hands-on data engineering experience.
• Deep involvement in system, technical, and data architecture—contributing to architectural decisions, evaluating tradeoffs, and translating those decisions into working implementations.
• Ready to take the next step from influencing architecture to leading it, with the judgment, curiosity, and ambition to earn increasing architectural ownership as the platform and team mature.
• Strong experience with modern cloud data warehouses, ELT patterns, data modeling, orchestration, testing, and production data operations.
• Demonstrated ability to move fluidly between design and hands-on implementation—turning architectural concepts into durable, scalable products.
• Experience supporting multiple data consumption patterns, including analytics, operational workflows, APIs/integrations, and emerging AI use cases.
• Practical experience building AI-enabled data or application capabilities—or the technical foundation and curiosity to lead their development.
• Strong judgment around architectural tradeoffs including real-time vs. batch, direct integration vs. warehouse-mediated patterns, and speed vs. long-term maintainability.
• Comfortable working as a technical peer with data, analytics, application, integration, and business leaders.
• Strong documentation, collaboration, and knowledge-sharing discipline, with a bias toward creating reusable capabilities rather than one-off solutions.
• An accomplished individual contributor looking for a larger arena—motivated by the opportunity to help build the platform, establish the standards, shape how the team operates, and grow into broader technical leadership.

Ideal Background

• Senior-level experience designing and building modern data platforms, with strong hands-on data engineering experience and exposure to system, technical, or data architecture decisions.
• Strong experience with modern cloud data warehouses, ELT patterns, data modeling, orchestration, testing, and production data operations.
• Demonstrated ability to turn architectural decisions into working products—comfortable moving between design, hands-on implementation, and ongoing platform evolution.
• Experience designing data solutions that support multiple consumption patterns, including analytics, operational workflows, APIs/integrations, and emerging AI use cases.
• Practical experience building AI-enabled data or application capabilities—or the technical foundation and curiosity to lead their development.
• Strong judgment around architectural tradeoffs, including real-time vs. batch, direct integration vs. warehouse-mediated patterns, and speed vs. long-term maintainability.
• Comfortable working as a technical peer with data, analytics, application, integration, and business leaders.
• Strong documentation, collaboration, and knowledge -sharing discipline, with a bias toward creating reusable capabilities rather than one-off solutions.
• An experienced individual contributor ready for greater ownership and technical leadership—someone who has successfully delivered complex data solutions and is ready to expand their scope into architecture, technical direction, and how a data team operates.
• Motivated by the opportunity to build something, establish the standards, and grow as a technical leader as the platform, product, and team mature.