Senior Data Engineer

We are looking for an architect who can think beyond individual data technologies and define enterprise-level strategies while also being technically strong enough to guide engineering teams through implementation.

Candidates without Energy, Oil & Gas, Commodity Trading, Utilities, or Capital Markets experience will not be considered.

Location: onsite
Job Type: Contract / Contract-to-Hire
Experience: 10+ years
Industry: Energy, Oil & Gas, Commodity Trading, Utilities, or Capital Markets

Position Overview

We are seeking a senior Enterprise Data Architect with strong experience designing modern, cloud-native data platforms and enterprise data architecture. The ideal candidate will have hands-on experience with Lakehouse architecture, Data Mesh, Data Products, Databricks, Azure/AWS data services, Snowflake, data integration, and enterprise data governance.

Industry experience is mandatory: Candidates must have experience in Energy, Oil & Gas, Commodity Trading, Utilities, or Capital Markets.

Key Responsibilities

• Define and lead enterprise data architecture strategies, standards, reference architectures, and roadmaps.
• Design current-state and future-state data architecture across platforms, integrations, analytics, and reporting.
• Architect scalable Lakehouse and cloud data platforms using Databricks, Azure and/or AWS data services.
• Design data solutions supporting energy/commodity trading, risk management, scheduling, settlements, and market operations.
• Architect integrations between trading platforms, ERP systems, operational applications, and analytical platforms.
• Lead enterprise data modeling including conceptual, logical, and physical models.
• Drive Data Product and Data Mesh architecture and domain-driven data strategies.
• Establish architecture standards for master, reference, transactional, and analytical data.
• Define data governance frameworks covering metadata, lineage, data quality, security, compliance, and stewardship.
• Architect batch, micro-batch, real-time, streaming, and event-driven data integration patterns.
• Review and approve ETL/ELT, data pipeline, integration, and cloud architecture designs.
• Drive architecture governance, design reviews, technology standards, and reusable patterns.
• Develop multi-year data architecture roadmaps and modernization strategies.
• Lead architecture workshops and collaborate with engineering, product, business, and executive stakeholders.
• Mentor architects, engineers, and technical leads.

Required Technical Expertise

• 10+ years of experience in Data Architecture / Enterprise Architecture.
• Mandatory domain experience: Energy, Oil & Gas, Commodity Trading, Utilities, or Capital Markets.
• Strong experience with Lakehouse Architecture and modern cloud data platforms.
• Hands-on architecture experience with Databricks.
• Strong knowledge of Azure Data Platform Services and/or AWS Data Services.
• Experience with Snowflake preferred.
• Strong understanding of Data Mesh, Data Products, Domain-Driven Data Architecture, and enterprise data modeling.
• Experience with ETL/ELT, data pipelines, APIs, streaming, event-driven architecture, and real-time data integration.
• Strong knowledge of data governance, metadata management, data lineage, data quality, security, and compliance.
• Experience establishing architecture governance boards, enterprise standards, reference architectures, and design review processes.
• Strong communication, stakeholder management, and technical leadership skills.

Preferred Qualifications

• Cloud architecture certification (Azure / AWS / Google Cloud Platform).
• Databricks certification.
• Experience leading large-scale cloud migration, data modernization, or digital transformation initiatives.
• Experience working with trading, risk, scheduling, settlements, or market data platforms.