ETRM Data Architect

Job Title : ETRM Data Architect

Location : Houston, TX (Hybrid)

Type : Contract

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