Data Architect

VDart Inc; Irving (TX); Hybrid; USD 120,000 - 180,000; Full time

Job summary

VDart Inc. in Irving, TX is seeking a Data Architect to define and govern enterprise data architecture and integration frameworks across analytics platforms.

You will design ETL/ELT processes with Talend, leverage Snowflake and Teradata SQL, and collaborate with stakeholders to translate business needs into robust data solutions while ensuring data governance, quality, and security.

Qualifications

• 8+ years of experience with AI data processing.
• 8+ years of experience with Snowflake.
• 8+ years of experience with Talend.
• 8+ years of experience as Data Architect.

Responsibilities

• Define and govern enterprise data architecture, data models, and integration frameworks.
• Design, develop, and optimize ETL/ELT processes with Talend for data movement.
• Architect and manage data solutions using Snowflake, Teradata SQL, and cloud data technologies.
• Collaborate with stakeholders, applications, and data engineers to translate requirements into robust data solutions.
• Establish data governance, quality, security, and compliance standards.
• Lead technical design discussions and support delivery teams on data integration and performance challenges.
• Evaluate emerging AI, analytics, and data technologies to improve reporting capabilities and insights.

Skills

AI Data processing

Snowflake

Talend

Data Architect

Job description

Job Title: Data Architect

Work location: Irving, TX (Hybrid)

Duration: 15 Months

Must-have skills:

• AI Data processing
• Snowflake
• Talend

Years of experience required for each skill? 8+ Yrs

Responsibilities:

• Define and govern enterprise data architecture, data models, and integration frameworks to support scalable business and analytics solutions.
• Design, develop, and optimize ETL/ELT processes using Talend to enable reliable and efficient data movement across platforms.
• Architect and manage data solutions by leveraging Snowflake Data Warehouse, Teradata SQL, and cloud-based data technologies.
• Collaborate with business stakeholders, application teams, and data engineers to translate business requirements into robust data solutions.
• Establish data governance, quality, security, and compliance standards to ensure integrity and consistency of enterprise data assets.
• Lead technical design discussions, provide architectural guidance, and support delivery teams in resolving complex data integration and performance challenges.
• Evaluate emerging AI, analytics, and data technologies, recommending improvements that enhance operational efficiency, reporting capabilities, and business insights.

Key Skills:

Data Architect, AI, Snowflake, Talend