IT SOFTWARE ENGINEER

Allied Reliability; Houston (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Allied Reliability seeks a senior data architect to lead the architecture, design, and delivery of end-to-end data ecosystems and AI-augmented pipelines in Houston. You will collaborate with cross-functional stakeholders to define governance, metadata management, and operational excellence across data platforms.

The role requires deep Azure, Databricks, and SQL proficiency, plus strong leadership and the ability to communicate complex data concepts to executive audiences in a fast-paced

Qualifications

• 12–17 years of data engineering and architecture experience.
• Deep expertise in Azure, Databricks, and SQL.
• Strong leadership and ability to communicate complex concepts to executive audiences.

Responsibilities

• Lead the architecture, design, and implementation of end-to-end data ecosystems and AI-augmented pipelines.
• Engage with cross-functional stakeholders to drive data governance, metadata management, and operational excellence.

Skills

Leadership

Data governance

Metadata management

Stakeholder management

Data modeling

Data architecture

AI/ML

CI/CD

Kubernetes

API development

Unity Catalog

Performance tuning

Communication to executives

Tools

Azure Data Engineering

Databricks

Python

Spark

SQL

Job description

Lead the architecture, design, and implementation of end-to-end data ecosystems and AI-augmented pipelines. Engage with cross-functional stakeholders to drive data governance, metadata management, and operational excellence.

Requirements:

Requires 12-17 years of experience in data engineering and architecture with deep expertise in Azure, Databricks, and SQL. Candidates must possess strong leadership skills, technical proficiency in data modeling, and the ability to communicate complex concepts to executive audiences.

Key Skills:

Azure Data Engineering, Databricks, Python, Spark, SQL, Data Architecture, Data Modeling, Unity Catalog, CI/CD, Kubernetes, API Development, Metadata Management, AI/ML, Data Governance, Performance Tuning, Stakeholder Management