Enterprise Data Architect | Cloud & Data Governance

Robotic Technologies Automation; Dallas (TX); On-site; USD 83,000 - 124,000; Full time

Job summary

Robotic Technologies Automation is seeking an experienced Data Architect to design, develop, and maintain scalable, secure data architectures for enterprise needs in Dallas, TX. You will define data models, standards, and integration strategies, collaborating with business and technical teams to support analytics and reporting.

The role focuses on data warehouses, data lakes, ETL/ELT pipelines, and governance to ensure data quality, security, and accessibility across the organization.

Qualifications

• Experience in data architecture and enterprise data management.
• Strong data modeling: conceptual, logical, physical.
• Proficiency in SQL and relational databases.
• Knowledge of data warehousing, data lakes, and integration.
• Understanding ETL/ELT processes and data pipeline architecture.
• Knowledge of data governance, data quality, metadata, and data security.
• Ability to translate business requirements into scalable architecture.
• Strong analytical and stakeholder management skills.

Responsibilities

• Design scalable enterprise data architecture solutions.
• Define data models (conceptual, logical, physical).
• Establish standards, principles, and best practices.
• Design data warehouses, data lakes, and integration solutions.
• Develop and oversee ETL/ELT strategies and pipelines.
• Ensure data quality, security, and availability.
• Collaborate with data engineers, analysts, developers, and stakeholders.
• Evaluate database technologies and cloud platforms.
• Review designs for alignment with enterprise standards.
• Identify opportunities to improve performance and efficiency.

Skills

Data architecture

SQL

Data modeling

ETL/ELT

Data governance

Stakeholder management

Tools

Snowflake

Databricks

Redshift

Azure Synapse

Job description

Robotic Technologies Automation is seeking an experienced Data Architect to design, develop, and maintain scalable, secure data architectures for enterprise needs in Dallas, TX. You will define data models, standards, and integration strategies, collaborating with business and technical teams to support analytics and reporting.

The role focuses on data warehouses, data lakes, ETL/ELT pipelines, and governance to ensure data quality, security, and accessibility across the organization.