Senior Data Architect

Ventures Unlimited Inc; Dallas (TX); In loco; USD 150.000 - 230.000; Tempo pieno

Descrizione del lavoro

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.

Competenze

• 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.

Conoscenze

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

Descrizione del lavoro

• 7–12 years of experience in Data Engineering, Data Platforms, or Solution Architecture.


• Experience in Python, PySpark, Spark SQL, and distributed data processing.


• Experience working with Hadoop ecosystem and large-scale data platforms.


• Hands‑on expertise with Databricks Lakehouse and modern cloud‑native architectures.


• Experience with one or more cloud platforms: Azure, AWS, or GCP.


• Collaborate closely with the Enterprise Architecture team to define target‑state architectures and technology roadmaps.


• Create and maintain Reference Architectures, Solution Blueprints, Design Patterns, and Architecture Standards.


• Design scalable batch, streaming, and real‑time data processing solutions.


• Support AI/ML and Generative AI initiatives by building AI‑ready data platforms and architectures.


• Drive architecture reviews and ensure adherence to security, scalability, governance, and best practices.


• Mentor engineering teams and provide technical leadership during solution design and implementation.


• Strong communication and stakeholder management skills with the ability to influence architecture decisions.

Preferred Qualifications

• Prior experience working in Citibank consumer or wealth platform.


• Exposure to Enterprise Architecture frameworks (TOGAF preferred).


• Experience in Banking, Financial Services, or large-scale data modernization programs.