Manager, Data Engineering
Helmerich & Payne
Data Warehouse & Data Engineering Manager
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
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.
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:
- 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!
Vacancy posted 4 days ago
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