ETRM Data Architect (Fulltime jobs) for Huston , TX (Onsite )

Fulltime Opportunity

Job Title : ETRM Data Architect

Location : Huston , TX (Onsite )

Job Details

The Enterprise Trading Architect is a senior technical leader responsible for defining, designing, and implementing the comprehensive technology architecture supporting the organization's trading operations across asset classes, markets, and geographies. This role ensures that trading platforms, systems, and processes are optimized for scalability, performance, compliance, and innovation. With a focus on aligning business goals with technology capabilities, the Enterprise Trading Architect drives modernization, integration, and transformation of trading ecosystems while providing strategic guidance on emerging technologies and market trends.

Develop and maintain an enterprise-wide architecture strategy for trading operations, aligned with organizational goals and market requirements
Define a future-ready architectural blueprint that incorporates trading platforms, risk management systems, data analytics, and reporting
Lead the adoption of standardized frameworks, tools, and best practices across all trading systems
Architect solutions that enable seamless execution across the full trade lifecycle, including deal capture, risk assessment, settlement, and reporting
Ensure tight integration between trading systems and operational functions such as risk, compliance, finance, and logistics
Design for real-time trade execution and risk visibility to meet dynamic market demands
Lead the integration of trading platforms with enterprise systems, market data providers, and external exchanges
Oversee the migration of legacy systems to modern, cloud-native, and microservices-based architectures
Design scalable and modular architectures to support growth in trading volumes and the addition of new asset classes
Establish a unified data architecture to manage and analyze large volumes of structured and unstructured trading data
Enable advanced analytics capabilities, including machine learning models for predictive insights and algorithmic trading
Ensure data consistency, governance, and security across the trading ecosystem
Evaluate and implement emerging technologies such as blockchain, IoT, and AI/ML to enhance trading operations
Lead proof-of-concept projects to assess and integrate innovative tools and platforms
Drive the adoption of cloud computing, containerization, and serverless architectures for flexibility and cost-efficiency
Expertise in AWS, Azure Cloud for hosting trading applications and data platforms.
Proficiency in data integration, ETL/ELT pipelines, and master data management (MDM).
Act as a key advisor to business and IT leaders, aligning technology decisions with strategic goals
Collaborate with trading, operations, and compliance teams to understand requirements and deliver fit-for-purpose solutions

Thanks &Regards

Rahul Sharma | Team Lead
Amaze Systems Inc

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