Senior Data Architect (No benchsales) Full-Time

KPG99 INC; Dallas (TX); In loco; USD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

KPG99 INC in Dallas,TX seeks a senior data engineer/solution architect to design and govern data platforms for scalable, real-time and AI-ready workloads. You will lead architecture decisions, mentor teams, and collaborate closely with stakeholders to define roadmaps and standards.

Responsibilities include building reference architectures, design patterns, and blueprints while ensuring security, governance, and cloud-native implementation across Azure, AWS, or GCP environments.

Competenze

• 7–12 years of experience in Data Engineering, Data Platforms, or Solution Architecture.
• Proficient in Python, PySpark, Spark SQL and distributed data processing.
• Experience with Hadoop ecosystem and large-scale data platforms.
• Hands-on expertise with Databricks Lakehouse and cloud-native architectures.
• Experience with Azure, AWS, or GCP.
• Collaborate with Enterprise Architecture 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 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 influence solution design during implementation.
• Strong communication and stakeholder management to influence architecture decisions.

Mansioni

• Define target-state architectures and roadmaps.
• Lead architecture reviews with security and governance focus.
• Mentor engineers during design and implementation.
• Collaborate with stakeholders to influence architecture decisions.

Conoscenze

Data engineering

Data platforms

Solution architecture

Python

PySpark

Spark SQL

Distributed processing

Databricks Lakehouse

Azure

AWS

GCP

Enterprise architecture

Reference architectures

Design patterns

Architecture standards

Batch processing

Streaming processing

Real-time processing

AI data platforms

Security governance

Mentoring teams

Stakeholder management

Communication skills

Formazione

Strumenti

Azure

AWS

GCP

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.