Senior Manager – Data Engineering / Data Architecture
Location: Houston, TX – Hybrid / Onsite
Employment Type: Contract
Duration: 1 Year
Start: ASAP
Role Overview
We are looking for a highly experienced Senior Manager – Data Engineering / Data Architecture to lead enterprise-scale data architecture, Lakehouse, integration and modernization initiatives.
The ideal candidate will combine strong architecture leadership with hands-on knowledge of modern cloud data platforms and must have prior experience within Energy, Oil & Gas, Commodity Trading, Utilities, or Capital Markets.
This is a senior client-facing role requiring the ability to define architecture strategy, lead complex solution designs, establish enterprise standards and work closely with engineering teams, business stakeholders and executive leadership.
Key Responsibilities
- Lead the design and governance of enterprise data architecture across data platforms, integrations, analytics and reporting.
- Define current-state and future-state architectures and develop multi-year modernization roadmaps.
- Architect scalable Lakehouse and cloud-native data platforms using technologies such as Databricks, Azure, AWS and Snowflake.
- Establish architecture standards, reusable patterns, reference architectures and engineering best practices.
- 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 conceptual, logical and physical data modeling and establish standards for master, reference, transactional and analytical data.
- Drive Data Product and Data Mesh architecture and domain-driven data strategies.
- Define architecture supporting data governance, metadata, lineage, data quality and regulatory compliance.
- Architect scalable batch, micro-batch, near-real-time and event-driven data pipelines.
- Review ETL/ELT, streaming and cloud-native integration designs for performance, security, resiliency and maintainability.
- Lead architecture workshops, solution reviews and stakeholder discussions.
- Mentor architects, engineers and technical leads and communicate architecture strategy to senior business and technology leadership.
Required Skills & Experience
- Extensive experience in Data Engineering, Data Architecture and Enterprise/Solution Architecture.
- Mandatory industry experience: Energy, Oil & Gas, Commodity Trading, Utilities, or Capital Markets.
- Strong experience designing enterprise-scale Lakehouse / modern data platforms.
- Deep understanding of Databricks and modern cloud data architecture.
- Experience with Azure Data Platform Services and/or AWS Data Services.
- Experience with Snowflake is strongly preferred.
- Strong knowledge of Data Products, Data Mesh and domain-driven architecture.
- Experience with enterprise data modeling and complex data integration.
- Strong understanding of ETL/ELT, streaming, real-time and event-driven architectures.
- Experience with data governance, lineage, metadata management and data-quality frameworks.
- Proven experience establishing architecture standards and governance across large organizations.
- Strong leadership, stakeholder management and executive communication skills.
Preferred Qualifications
- Experience with energy/commodity trading platforms and trading data workflows.
- Cloud architecture certifications – Azure and/or AWS.
- Databricks certification.
- Experience leading large-scale cloud/data modernization programs.
Never miss an opportunity! Create an alert based on the job you applied for.
