Data Engineering Manager

Job Title: Data Engineering Manager
Location: Houston, TX - 3 days onsite per week
Length: 12 months



 
MUST have Experience within Energy, Oil & Gas, Commodity Trading, Utilities, or Capital Markets industries.

Key Responsibilities
Enterprise & Solution Architecture
Lead the design and governance of enterprise-wide data architecture strategies aligned to business and technology objectives.
Develop current-state and future-state architecture landscapes across data platforms, integrations, analytics, and reporting environments.
Establish architecture standards, frameworks, reusable patterns, and best practices for enterprise adoption.
Provide architecture leadership for large-scale transformation, modernization, and cloud migration initiatives.
Lakehouse & Cloud Data Platforms
Define and implement scalable Lakehouse architecture strategies utilizing modern cloud-native technologies.
Guide platform design decisions related to data ingestion, storage, processing, security, and consumption.
Drive architecture decisions supporting performance, scalability, resiliency, and operational excellence.
Partner with engineering teams to establish reference architectures and implementation standards.
Trading Data Integration
Architect solutions supporting energy trading, commodity trading, risk management, scheduling, settlements, and market operations data workflows.
Design end-to-end integration patterns connecting trading platforms, ERP systems, operational applications, and analytical platforms.
Lead architecture reviews for complex trading-system integrations and data movement strategies.
Data Modeling & Data Products
Lead enterprise data modeling initiatives including conceptual, logical, and physical data models.
Define domain-driven architecture approaches and support organizational data product strategies.
Establish standards for master, reference, transactional, and analytical data structures.
Partner with business and product stakeholders to design reusable and governed data products.
Data Governance & Quality
Define architecture standards supporting metadata management, lineage, data quality, governance, and regulatory compliance requirements.
Collaborate with governance organizations to establish enterprise data stewardship models.
Drive adoption of data cataloging, lineage tracking, and quality monitoring capabilities.
Integration & Data Engineering
Architect batch, micro-batch, and near-real-time data integration patterns.
Guide development teams on scalable pipeline architecture and optimization strategies.
Review and approve solution designs involving ETL/ELT frameworks, streaming integrations, and cloud-native data services.
Ensure platform designs support reliability, observability, security, and maintainability requirements.
Strategy & Leadership
Develop multi-year data architecture roadmaps and implementation plans.
Lead architecture workshops, stakeholder facilitation sessions, and solution design reviews.
Mentor architects, engineers, and technical leads across programs and delivery teams.
Communicate technical strategies effectively to executive leadership and business stakeholders.'

Experience within Energy, Oil & Gas, Commodity Trading, Utilities, or Capital Markets industries.
Expertise with modern Data Product and Data Mesh concepts.
Experience implementing cloud-native data platforms utilizing:
Databricks
Azure Data Platform Services
AWS Data Services
Snowflake (preferred)
Familiarity with real-time and event-driven architecture patterns.
Experience establishing architecture governance boards and enterprise standards.
Architecture certifications in major cloud platforms and Databricks preferred.'