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# Data Architect

- **Company:** Altitude Technology Solutions Inc
- **Location:** Houston, TX, United States
- **Contract:** Contract
- **Skills:** Microsoft Azure, Big Data, Data Architecture, Information Engineering, Data Governance, Data Structures, Data Systems, Data Warehousing, Database Queries, Metadata, Oracle Databases, Oracle (Applications), SQL Databases, Data Streaming, Apache Spark, Database Performance, Pyspark, Data Management, Physical Data Models
- **Published:** October 28, 2026
- **Apply:** https://www.dice.com/job-detail/ec857aca-d0ba-4722-9a84-7c608ce5c160

## About the Role

* Strong experience in conceptual, logical, dimensional, and physical data modeling.
 * Extensive experience in Data Warehousing and enterprise data architecture.
 * Hands-on experience with Azure Cloud services and data platforms.
 * Strong SQL skills and experience with Oracle databases.
 * Experience designing data flows and collaborating with data engineering and development teams.
 * Knowledge of Big Data technologies, including Apache Spark and PySpark, is a plus.
 * Experience with data modeling tools such as erwin Data Modeler and ER/Studio., * Experience with Big Data technologies, Apache Spark, and PySpark.
 * Hands-on experience with erwin Data Modeler and ER/Studio.
 * Strong analytical, problem-solving, and communication skills.
 * Ability to work independently and collaborate with cross-functional teams.

Regards

## Description

* Design, develop, and maintain conceptual, logical, dimensional, and physical data models.
 * Translate business requirements into scalable and efficient data architecture solutions.
 * Evaluate existing data systems and recommend improvements to data structures and architecture.
 * Develop and maintain enterprise data models, data flows, metadata, and data standards.
 * Design and optimize data warehouse structures to support reporting, analytics, and business intelligence.
 * Work with Azure Cloud, Oracle, SQL, and data engineering teams to implement data solutions.
 * Review data models for consistency, performance, scalability, and compatibility with existing systems.
 * Establish data modeling standards, naming conventions, and best practices.
 * Identify data discrepancies, troubleshoot data issues, and optimize database performance.
 * Collaborate with business stakeholders, architects, and development teams to ensure alignment with business and technical requirements.