Senior Data Architect — Cloud-Native & AI-Ready Platforms

Ventures Unlimited Inc; Dallas (TX); On-site; USD 150,000 - 230,000; Full time

Job summary

Ventures Unlimited Inc in Dallas, TX is seeking a senior data architect/engineer to lead data platform initiatives, design target-state architectures, and guide solution choices across cloud-native stacks. The role emphasizes scalable data pipelines, governance, and security within enterprise contexts.

You will mentor engineering teams, collaborate with the Enterprise Architecture group, and drive best practices while supporting AI/ML initiatives and real-time data processing capabilities.

Qualifications

• 7–12 years of experience in Data Engineering, Data Platforms, or Solution Architecture.
• Proficient in Python, PySpark, Spark SQL, and distributed data processing.
• Hands-on with Hadoop ecosystem and large-scale data platforms.
• Experienced with Databricks Lakehouse and modern cloud-native architectures.
• Skilled across Azure, AWS, or GCP cloud platforms.
• Collaborates with Enterprise Architecture to define target architectures and roadmaps.
• Creates and maintains reference architectures, design patterns, and standards.
• Designs scalable batch, streaming, and real-time data processing solutions.
• Supports AI/ML and Generative AI initiatives with AI-ready data platforms.
• Drives architecture reviews, ensuring security, scalability, governance, and best practices.
• Mentors engineering teams and provides technical leadership in design and implementation.
• Strong communication and stakeholder management to influence architecture decisions.

Skills

Data engineering

Data platforms

Solution architecture

Python

PySpark

Spark SQL

Hadoop

Databricks Lakehouse

Cloud platforms

Azure

AWS

GCP

Architecture governance

Mentoring teams

Stakeholder mgmt

Security and governance

Job description

Ventures Unlimited Inc in Dallas, TX is seeking a senior data architect/engineer to lead data platform initiatives, design target-state architectures, and guide solution choices across cloud-native stacks. The role emphasizes scalable data pipelines, governance, and security within enterprise contexts.

You will mentor engineering teams, collaborate with the Enterprise Architecture group, and drive best practices while supporting AI/ML initiatives and real-time data processing capabilities.