Data Architect

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

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: Data Architect

Location: Dallas , TX

Duration: 8 Months + Extension

Bill Rate: $74/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

JOB DESCRIPTION:

We are seeking an experienced Data Architect to design, develop, and maintain scalable, secure, and reliable enterprise data architectures. The candidate will define data models, architecture standards, and integration strategies while collaborating with business and technical teams to support data management, analytics, and reporting requirements.

KEY RESPONSIBILITIES:

• Design and implement scalable enterprise data architecture solutions.


• Define conceptual, logical, and physical data models.


• Establish data architecture standards, principles, and best practices.


• Design data warehouses, data lakes, and data integration solutions.


• Develop and oversee ETL/ELT strategies and data pipelines.


• Ensure data quality, consistency, security, and availability.


• Define data governance, metadata management, and master data management practices.


• Collaborate with data engineers, analysts, developers, and business stakeholders.


• Evaluate database technologies, cloud data platforms, and data integration tools.


• Review technical designs and ensure alignment with enterprise architecture standards.


• Identify opportunities to improve data performance, scalability, and operational efficiency.

REQUIRED SKILLS & EXPERIENCE:

• Experience in data architecture and enterprise data management.


• Strong understanding of conceptual, logical, and physical data modeling.


• Proficiency in SQL and relational database concepts.


• Knowledge of data warehousing, data lakes, and data integration.


• Understanding of ETL/ELT processes and data pipeline architecture.


• Knowledge of data governance, data quality, metadata, and data security.


• Ability to translate business requirements into scalable technical architecture.


• Strong analytical, communication, and stakeholder management skills.

PREFERRED SKILLS:

• Experience with cloud data platforms such as AWS, Microsoft Azure, or Google Cloud.


• Exposure to Snowflake, Databricks, Amazon Redshift, or Azure Synapse.


• Experience with big data technologies such as Spark, Hadoop, or Kafka.


• Knowledge of dimensional modeling, Data Vault, and enterprise data architecture frameworks.


• Experience with data catalog and governance tools.

GOOD TO HAVE:

• Cloud architecture certifications.


• TOGAF or other enterprise architecture certification.


• Experience in financial services, banking, or other enterprise environments.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.