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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect - **Company:** Everforth Apex - **Location:** Plano, TX, United States - **Experience:** Expert - **Salary:** $149,760.0 - $151,840.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Airflow, Data Analysis, Profiling, Information Systems, Computer Programming, Databases, Continuous Delivery, Continuous Integration, Data Architecture, Data Infrastructure, Data Mapping, Data Security, Data Structures, Relational Databases, Database Design, Query Languages, Document Management Systems, Document-Oriented Databases, Revision Control Systems, JSON, Python (Programming Language), Metadata, Metadata Repositories, Metadata Standards, Oracle Databases, Oracle (Applications), Oracle SQL Developer, Oracle Warehouse Builder, Post Office Protocol, PL-SQL, SQL Databases, YAML, Scripting, Computer Network Operations, Sql Optimization, Large Language Models, Database Optimization, Apache Spark, Aris Software, Git, Information Technology, Toad (Software), Data Management, Database View, Software Version Control - **Published:** September 7, 2026 - **Apply:** https://www.careerbuilder.com/job-details/data-architect-plano-tx--42300487-d4f9-47bf-bccc-2f57f56c3377 ## About the Role Experience: 8+ years of experience in enterprise data architecture, database architecture, or data platform architecture. Strong experience with Oracle relational databases and designing performant data access patterns for analytics, reporting, or AI-enabled query systems. Experience with metadata onboarding, data catalogs, and semantic modeling is also required. Programming / Query Languages: Advanced SQL, particularly Oracle SQL, and a strong understanding of PL/SQL concepts. Systems / Tools: Proficiency with Oracle Database, Starburst, Toad for Oracle (or equivalent), data catalog platforms, and Git or other enterprise source control systems. Awareness of CI/CD for database scripts is necessary. Preferred Qualifications * Working knowledge of Python for metadata extraction, profiling, or automation. * Familiarity with YAML / JSON metadata formats. * Experience with enterprise process management systems such as POP or ARIS. * Exposure to GenAI platforms and LLM-based enterprise solutions. * Knowledge of regulatory and compliance-driven data environments. * Experience with Airflow, dbt, Spark, or enterprise data pipeline tooling., Access Control, Artificial Intelligence (AI), Automation, Career Counseling, Continuous Deployment/Delivery, Continuous Integration, Customer Support/Service, Data Management, Data Mapping, Data Quality, Data Structures, DataArchitect Data Modeling Tool, Database Architecture, Database Design, Database Optimization, Database Programming Languages, Database Technology, Document Management, Enterprise Architecture, Genetics, Git, Information Technology & Information Systems, JSON, Legal, Machine Tool, Maintain Compliance, Metadata, Network Operations Center, Onboarding, Oracle, Oracle Database, Oracle PL-SQL, POP (Post Office Protocol), Performance Management, Process Management, Python Programming/Scripting Language, Quest Software TOAD, Relational Databases (RDBMS), SQL (Structured Query Language), Scripting (Scripting Languages), Source Code Control System (SCCS), Structured Data ## Description The Data Architect will prepare the Strategic Process Inventory (SPI) data estate for use by a GenAI platform. This involves defining the data onboarding approach, identifying required source structures, designing performant access patterns, and ensuring metadata is complete, accurate, and usable by downstream semantic and AI context layers. The role requires a hybrid work model with three days onsite., * Identify and document required SPI Oracle database schemas, tables, views, and columns needed for GenAI. * Define the onboarding scope for structured data, including source systems, subject areas, and key data products. * Extract, validate, and organize technical metadata from Oracle using tools like Toad or SQL scripts. * Establish and maintain metadata standards for table descriptions, column definitions, data types, and classifications. * Collaborate with business and data SMEs to validate data accuracy and representation. * Design optimized database views or materialized views to improve performance for GenAI query execution. * Define aggregation, denormalization, and join strategies for common data access paths. * Provide canonical source-to-target mapping between Oracle data structures and business concepts. * Support the mapping of business terminology to physical Oracle tables and columns. * Validate data quality, completeness, and referential consistency. * Identify sensitive data elements requiring access controls and document data limitations. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [CI/CD with Github Actions](https://www.wearedevelopers.com/videos/856-ci-cd-with-github-actions) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)