Manager, Data Engineering

At H\&P, our people are our strength. Since 1920, Helmerich and Payne has been the industry's most trusted partner in drillingproductivity 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 ofsuccess, 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 Location: Tulsa, OK Work Type: On-Site 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. Required Qualifications What you will need: 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. Modern Data Platform & Technical Skills 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 Soft Skills 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 Preferred Industry Experience Oil & Gas Manufacturing Energy Financial Services Healthcare Retail & Supply Chain Enterprise ERP, Finance & Industry Expertise 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! #J-18808-Ljbffr