Purpose
Join our Data & Analytics team as the Manager of BI & Data Engineering, owning the strategic direction and hands-on architecture of our Microsoft Fabric platform. This role leads a team of BI developers and data engineers, driving the full lifecycle of report development, production support, and data integration solutions. The ideal candidate is a technically strong leader with deep expertise across Microsoft Fabric, Power BI, and modern data engineering practices, capable of translating business needs into scalable, governed, and production-ready data solutions.
Location
- Role provides the opportunity to work in a hybrid environment, working both virtually and in the Houston office when required.
Functions
ESSENTIAL
- Serve as the platform architect and technical owner for the organization's Microsoft Fabric platform, overseeing its architecture, standards, and governance.
- Manage, mentor, and lead the BI and Data Engineering team, directing delivery and execution of report development, report production support, and data integration/data warehouse solutions built on Microsoft Fabric.
- Own end-to-end delivery of Power BI report development, enhancement, and production support, ensuring reports meet business requirements and performance standards.
- Architect, build, and maintain data integration pipelines and data warehouses using Microsoft Fabric capabilities including Data Factory, Data Pipelines, Lakehouse, and Data Engineering tools.
- Define and enforce Fabric platform standards, including workspace governance, capacity management, naming conventions, and CI/CD practices.
- Develop and maintain Python-based scripts and notebooks for data transformation, automation, and analytics within Fabric.
- Build and deploy machine learning models using Fabric's data science tools to support predictive analytics initiatives.
- Partner with Data Governance teams to integrate Microsoft Purview with Microsoft Fabric, supporting data cataloging, lineage, sensitivity labeling, and compliance.
- Collaborate with business stakeholders and IT leadership to translate business requirements into scalable BI and data engineering solutions.
- Monitor platform performance and capacity utilization, troubleshoot issues, and drive continuous improvement of BI and data engineering practices.
Supervisory Responsibilities
- Manage, mentor, and develop a team of BI and Data engineers and solution builders.
Qualifications
Qualifications
REQUIRED
Minimum 10 years of experience working with Microsoft BI tools, including Microsoft Fabric and Microsoft Power BI.
Minimum 2 years of experience architecting and administering Microsoft Fabric platforms, including Lakehouse, Data Warehouse, Data Factory, and Data Pipelines.
Minimum 7 years of experience in Power BI report development, including data modeling, DAX, and semantic models.
Minimum 7 years of experience in data engineering, including building and maintaining data integration pipelines and data warehouses.
Minimum 1 years experience in Python for scripting, data transformation, and automation.
Minimum 2 years of experience developing and deploying machine learning models using Fabric's data science tools.
Minimum 3 years of experience managing or leading a BI and/or Data Engineering team.
Strong communication and stakeholder management skills.
DESIRED
Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
Experience with Microsoft Purview, including integrating Purview with Microsoft Fabric for data governance, cataloging, and compliance.
Microsoft Fabric or Power BI certification(s).
Experience with CI/CD practices and DevOps for Fabric deployments.
Familiarity with data governance frameworks, security, and access control models within Fabric.
Experience with Fabric capacity management and workspace governance.
Working Conditions
This position is considered OFFICE WORK which is characterized as follows.
Almost exclusively indoors during the day and occasionally at night.
- Occasional exposure to airborne dust in the workplace.
Work surface is stable (flat).
Physical Activity/Requirements
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
This position is considered LIGHT work.
OCCASIONAL
FREQUENT
CONSTANT
Lift up to 20 pounds
Climbing, stooping, kneeling, squatting, and reaching
Lift up to 10 pounds
Standing
Repetitive movements of arms and hands
Sit with back supported
Skills Required
- Minimum 10 years experience with Microsoft BI tools, including Microsoft Fabric and Power BI
- Minimum 2 years architecting and administering Microsoft Fabric platforms (Lakehouse, Data Warehouse, Data Factory, Data Pipelines)
- Minimum 7 years Power BI report development, including data modeling, DAX, and semantic models
- Minimum 7 years data engineering experience building and maintaining data integration pipelines and data warehouses
- Minimum 1 year experience with Python for scripting, data transformation, and automation
- Minimum 2 years developing and deploying machine learning models using Fabric's data science tools
- Minimum 3 years managing or leading a BI and/or Data Engineering team
- Strong communication and stakeholder management skills
- Bachelor's degree in Computer Science, IT, Engineering, or related field
- Experience with Microsoft Purview and integrating Purview with Microsoft Fabric
- Microsoft Fabric or Power BI certification(s)
- Experience with CI/CD practices and DevOps for Fabric deployments
- Familiarity with data governance frameworks, security, access control models, capacity management, and workspace governance in Fabric
Oceaneering Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Oceaneering and has not been reviewed or approved by Oceaneering.
-
Healthcare Strength — Healthcare offerings are portrayed as comprehensive, including private medical insurance and broad medical, dental, and vision coverage tailored to local markets. In several contexts, coverage is characterized as good to outstanding.
-
Retirement Support — Retirement programs include pension/retirement plans and a U.S. 401(k), which are consistently highlighted as part of a competitive package. These elements are described as contributing meaningful value to overall compensation.
-
Leave & Time Off Breadth — Leave programs include PTO/vacation, paid holidays, and paid sick leave, with annual leave emphasized globally. Time-off provisions are noted as a steady component of total rewards even when salary opinions differ.
Oceaneering Insights
What We Do
Oceaneering pushes the frontiers of deep water, space and motion entertainment environments to execute with new, leading-edge connections to solve tomorrow’s challenges, today. As the trusted subsea connection specialist, our experience combined with the depth and breadth of our portfolio of technologies allows us to engineer solutions for the most complex subsea challenges. From routine to extreme, our integrated products, services, and innovative solutions safely de-risk operational systems, increase reliability, and enable a lower total cost of ownership. We are connecting what’s needed with what’s next as the world’s largest ROV operator and the leading ROV provider to the oil and gas industry with over 300 systems operating worldwide. With our safety-focused and innovative approach, we responsively and decisively react to subsea challenges while providing solutions swiftly and efficiently.







