Hanwha Energy USA

Director, Data Engineering

Houston, TX · Director · Full-time

Sponsorship not specified$220k-$250kDetected 46 days ago

Data StructuresSQLAzureMachine LearningData EngineeringAI OrchestrationCybersecurityCRMERPLeadership

About the role

Hanwha Energy USA, headquartered in Houston, Texas, is part of the Hanwha Group-a FORTUNE Global 300 company and one of South Korea's most respected business enterprises.
With over a decade of experience delivering high-quality, utility-scale energy projects across North America, Hanwha Energy USA has evolved into a comprehensive energy solutions provider.
Our portfolio now spans utility-scale renewables, natural gas generation, retail electricity, and strategic partnerships that power America's growing data center industry.

Own and actively contribute to the enterprise data strategy and roadmap.
Design and oversee key data models, pipelines, integration patterns, and analytics platforms that support AI, BI, operational reporting, and decision-making.
Lead data engineering and reporting teams including full-time employees, contractors, and vendors.
Stay close to the work by reviewing pipeline designs, resolving complex data issues, and guiding architecture and implementation decisions.
Establish practical standards for data quality, lineage, documentation, observability, governance, and operational support.
Partner with business stakeholders, application development teams, AI engineers, analysts, and leadership to ensure data platforms meet current and future needs.
Ensure data structures and delivery patterns support both business intelligence and AI use cases, including trusted source data, feature-ready datasets, retrieval-ready content, and performance-optimized views.

Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field.
15+ years of progressive experience in data engineering, analytics engineering, data architecture, or enterprise data platform development.
5+ years of leadership experience managing technical data teams.
Proven experience designing and delivering modern data pipelines and analytics platforms in a business environment with multiple stakeholders.
Strong experience with SQL and relational data platforms, but also a demonstrated ability to move beyond legacy-only approaches into modern data architecture.
Experience with cloud data platforms, data lakes, and scalable data pipeline design.
Experience with streaming, event-driven, or near-real-time data integration patterns.
Experience establishing standards for data quality, lineage, documentation, and governance.
Strong understanding of how data platforms support BI, reporting, analytics, and AI use cases.
Experience leading a mix of full-time employees, contractors, and/or vendor resources.

Experience with Azure-based data services and modern cloud-native data patterns.
Experience with lakehouse or data lake architectures.
Experience with streaming technologies and message/event-based integration patterns.
Experience with semantic models, dimensional modeling, and performance optimization for analytics.
Experience in operationally complex or multi-entity environments.
Experience modernizing legacy reporting/data stacks into more scalable enterprise platforms.
Technical Environment
The ideal candidate should be comfortable working across a modern enterprise data environment that may include:

Hanwha Renewables - specializing in utility-scale solar and battery energy storage systems (BESS)
Chariot Energy - providing retail electricity services for residential, commercial, and industrial customers in deregulated markets
We are seeking a Director of Data Engineering to lead the strategy, architecture, and delivery of a modern enterprise data platform.
All duties will be assigned in accordance with applicable laws and company policies.

Hanwha Energy USA provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.

This listing is sourced directly from Hanwha Energy USA's careers page and normalized into a canonical job model.