At H&P, our people are our strength.
Since 1920, Helmerich and Payne has been the industry’s most trusted partner in drilling productivity and reliability. As the world changes, so does our approach. We are changing the landscape of drilling by using cutting-edge rig technologies and drilling solutions to build upon a century of success, all while continuing to deliver better outcomes for our customers.
At H&P, our people are our strength. We strive to continually lead with our Core Values that enable employees to develop on their H&P Journey. We believe that doing the right thing means creating a more diverse, equitable, and inclusive workplace that empowers our people to bring their authentic selves to work every day.
Some companies offer career paths. We offer a Journey of a Lifetime. Let's go far, together.
Hear directly from our employees, and leaders about their unique journeys at Helmerich and Payne.
At a Glance:
We are seeking an experienced and strategic Data Warehouse & Data Engineering Manager to lead the design, development, optimization, and governance of enterprise data platforms and analytics solutions. This role is responsible for managing data engineering teams, architecting scalable data warehouse solutions, and enabling business intelligence, reporting, and advanced analytics across the organization.
Location: Tulsa, OK
Work Type: On-Site
#LI-On-Site
What you will do:
Lead and mentor teams of data engineers, ETL developers, BI developers, and data architects.
Define and execute enterprise data warehouse and data engineering strategy.
Design and maintain enterprise data lakes, lakehouse architectures, and cloud analytics platforms.
Build scalable ETL/ELT pipelines supporting structured and unstructured data.
Lead migration initiatives from legacy platforms to modern cloud ecosystems.
Collaborate with business stakeholders across Finance, Operations, Supply Chain, and IT.
Ensure data quality, governance, security, and operational excellence.
Support enterprise BI, reporting, KPI dashboards, and AI/ML initiatives.
What you will need:
Required Qualifications:
Bachelor’s degree in Computer Science, Information Systems, Engineering, related field or equivalent experience.
8+ years of experience in data warehousing, data engineering, or analytics environments.
3+ years of technical leadership or management experience.
Strong expertise with SQL Server, Oracle, ETL development, and enterprise data modeling.
Experience with Azure, AWS, or Google Cloud data platforms.
Experience supporting ERP ecosystems such as Oracle EBS, SAP, Workday, or Dynamics.
Enterprise Data Lake Architecture
Lakehouse Design & Medallion Architecture
Delta Lake & Delta Live Tables
Databricks Platform Administration & Optimization
Apache Spark / PySpark
Azure Data Lake Storage (ADLS)
Azure Synapse Analytics
Microsoft Fabric
Real-Time & Streaming Data Architectures
Databricks SQL & Unity Catalog
MLflow & AI/ML Data Enablement
Data Governance & Master Data Management
ETL / ELT Modernization
Change Data Capture (CDC)
CI/CD Pipelines & DataOps
GitHub, Git, Azure DevOps
Power BI, Tableau, Cognos, OBIEE
Python, SQL, Spark
Strong leadership and mentoring capabilities
Excellent communication and stakeholder management
Strategic thinking with hands-on technical expertise
Problem-solving and architectural decision-making
Ability to manage multiple priorities and complex enterprise initiatives
Oil & Gas
Manufacturing
Energy
Financial Services
Healthcare
Retail & Supply Chain
Strong functional understanding of Finance, Accounting, Procurement, and Supply Chain business processes
Experience supporting enterprise ERP ecosystems including Oracle EBS, SAP, Microsoft Dynamics, and Workday
Knowledge of Oracle EBS modules including Financials, Procurement, Supply Chain, Inventory, Projects, and HR
Experience integrating ERP data into enterprise data warehouses and analytics platforms
Ability to collaborate with Finance and Supply Chain stakeholders to develop scalable operational reporting and KPI solutions
Experience with Oil & Gas operational, drilling, production, and financial data environments
Knowledge of upstream Oil & Gas business processes and operational analytics
Experience designing enterprise reporting and analytics solutions for operational and financial decision-making
Cross-functional expertise supporting Operations, Supply Chain, Finance, and Executive Leadership reporting initiatives
Hands-on experience with Microsoft Fabric architecture and implementation
Experience building unified analytics solutions using Microsoft Fabric
Knowledge of Fabric Lakehouse, Warehouse, Data Factory, and Real-Time Analytics
Experience integrating Microsoft Fabric with Azure Data Lake, Power BI, and enterprise ERP systems
Understanding of OneLake architecture and enterprise data consolidation strategies
Experience implementing scalable analytics and self-service reporting solutions using Microsoft Fabric
Knowledge of Fabric data governance, security, and workspace administration
Experience supporting AI-enabled analytics and modern data platform initiatives within Microsoft Fabric ecosystem
What we offer:
At H&P, our commitment to our people is at the forefront, and that includes benefits that provide employees a sense of health and financial security. We know that life continues outside of employment and actively caring of our people is our priority.
Flexible Spending or Health Savings Accounts
401k match
Paid Leave Plans
Parental & Adoption Benefits
Disability Coverage
Employee Assistance Program
Educational Assistance
Learning & Development Opportunities
Flex-scheduling available for qualifying positions to achieve work-life integration
Comprehensive medical, dental, vision, and life insurance
The job level and associated compensation for this position will be determined based on the candidate’s experience, qualifications, and alignment with the role’s requirements. Final compensation for this role may vary depending on individual factors.
H&P is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
Thank you for your interest in joining our team!
