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# Data Architect

- **Company:** LEDGENT
- **Location:** Houston, TX, United States
- **Experience:** Expert
- **Salary:** $130,000 - $170,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Microsoft Azure, Business Software, Cloud Computing, Cloud Engineering, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Structures, Data Warehousing, Relational Databases, Dimensional Modeling, Disaster Recovery, Python (Programming Language), Metadata, Meta-Data Management, Microsoft SQL Server, Performance Tuning, SQL Databases, Systems Integration, Enterprise Data Management, File Transfer Protocol (FTP), Enterprise Software Applications, Cloud Platform System, Snowflake, Data Strategy, Data Layers, Kubernetes, Data Management, Restful APIs, Data Pipelines, Docker
- **Published:** November 12, 2026
- **Apply:** https://www.dice.com/job-detail/c18293cb-2404-4903-ac09-13660f215772

## About the Role

The ideal candidate will possess strong expertise in Snowflake, Azure, SQL Server, data engineering, and enterprise data architecture, along with the ability to collaborate across business and technical teams. This role requires a balance of strategic architecture leadership, hands-on engineering, data governance, and platform administration capabilities., * 7+ years of experience in Data Architecture, Data Engineering, or Enterprise Data Platform environments.

 * Strong hands-on experience with:
 + Snowflake
 + Microsoft Azure
 + SQL Server
 + Python
 + Advanced SQL Development
 * Experience designing and supporting enterprise-scale ETL/ELT pipelines.
 * Experience architecting data warehouses, dimensional models, and governed data platforms.
 * Experience integrating data using:
 + REST APIs
 + Relational Databases
 + SFTP
 + Enterprise Applications
 * Experience implementing data governance, lineage, metadata, and documentation practices.
 * Strong understanding of platform security, access controls, performance optimization, and disaster recovery.
 * Experience supporting highly available enterprise data environments.
 * Excellent communication and stakeholder management skills.

Preferred Qualifications

 * Experience with Airbyte, Kubernetes, Docker, and Helm.
 * Experience supporting AI-driven reporting, analytics, and agent-based solutions.
 * Experience managing cloud infrastructure or platform budgets.
 * Background supporting real estate, homebuilding, property management, construction, or multi-entity organizations.
 * Experience leading enterprise data modernization initiatives.
 * Cloud certifications in Azure, Snowflake, or Data Engineering disciplines.

## Description

* Drive enterprise data strategy, architecture standards, governance practices, and roadmap initiatives.
 * Partner with business stakeholders, analysts, and technology teams to translate business requirements into scalable data solutions.
 * Design and maintain enterprise data architecture supporting analytics, reporting, and AI initiatives.
 * Architect and administer centralized data platforms utilizing Snowflake, Azure, and SQL Server.
 * Design and maintain Bronze, Silver, and Gold data layers, dimensional models, and governed data structures.
 * Build and oversee ETL/ELT pipelines using Python, SQL, and Azure services.
 * Develop integrations across REST APIs, relational databases, SFTP environments, and enterprise business applications.
 * Administer Airbyte environments running on Kubernetes using Docker and Helm.
 * Establish data governance standards, lineage documentation, metadata management, and ownership processes.
 * Manage security, role-based access controls, platform monitoring, optimization, disaster recovery, and performance tuning.
 * Support AI-enabled reporting, analytics initiatives, and enterprise data consumption strategies.
 * Evaluate existing data architecture and recommend modernization, scalability, and performance improvements.
 * Create documentation, architecture diagrams, standards, and best practices for enterprise data development.