Lead Data Engineer – Enterprise Analytics & AI

Expand Energy Corporation; Oklahoma City, Northern (OK, KY); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Expand Energy Corporation seeks a Lead Data Engineer to design, develop, operate, and improve the enterprise data platform and analytics ecosystem. This role owns critical data pipelines, integration frameworks, and enterprise data models powering analytics, reporting, operational processes, data science, and AI capabilities across the organization.

The Lead Data Engineer combines deep expertise in data engineering, data modeling, and data warehousing with strong operational ownership of a

Qualifications

• Minimum: High school diploma or GED.
• Preferred: Bachelor’s degree in Information Systems, Computer Science, or related field

Responsibilities

• Design, develop, and maintain enterprise data pipelines, integration frameworks, dimensional and canonical data models, and cloud data warehouse solutions that serve as the foundation for enterprise analytics, reporting, machine learning, and AI capabilities.
• Build and operate scalable data pipelines utilizing batch, CDC, streaming, API-based, event-driven, and log-based data movement patterns while ensuring reliability, performance, and data quality.
• Partner with business and technology teams to onboard new data sources, deliver trusted data assets, and establish scalable data engineering solutions aligned with enterprise architecture standards.
• Technical Leadership & Collaboration: Serve as a lead technical contributor on strategic initiatives that rely on enterprise data assets and integration capabilities; Advise project teams on data architecture, integration patterns, platform capabilities, and engineering best practices; Mentor data engineers and promote operational excellence across the Data & Analytics organization; Collaborate with architects, analytics teams, application teams, cybersecurity, infrastructure, and business stakeholders; Identify opportunities to leverage emerging data platform capabilities to improve business outcomes.
• Snowflake Platform Ownership: Support and administer core Snowflake platform capabilities including compute management, resource governance, workload optimization, and security controls; Design and maintain RBAC frameworks and data access patterns; Evaluate new Snowflake features and recommend adoption strategies; Help evolve platform capabilities supporting analytics, AI, data products, and future use cases.
• Engineering Excellence & DevOps: Establish and promote engineering standards for source control, testing, deployment, documentation, and support; Leverage Azure DevOps for backlog management, source control, release management, and deployment automation; Perform code reviews and provide technical guidance; Contribute reusable frameworks and patterns to improve delivery.

Skills

Advanced SQL

Data modeling

Data warehousing

ETL/ELT processes

Data quality

Data governance

Education

High school diploma

Bachelor’s degree in Information Systems or Computer Science

Tools

Snowflake

dbt

Fivetran

Informatica

Azure Data Factory

Git

Azure DevOps

Job description

Expand Energy Corporation seeks a Lead Data Engineer to design, develop, operate, and improve the enterprise data platform and analytics ecosystem. This role owns critical data pipelines, integration frameworks, and enterprise data models powering analytics, reporting, operational processes, data science, and AI capabilities across the organization.

The Lead Data Engineer combines deep expertise in data engineering, data modeling, and data warehousing with strong operational ownership of a