Manager, BI & Data Engineering

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.

Oceaneering is a global provider of engineered services and products, primarily to the offshore energy industry. We develop products and services for use throughout the lifecycle of an offshore oilfield, from drilling to decommissioning. We operate the world''s premier fleet of work class ROVs. Additionally, we are a leader in offshore oilfield maintenance services, umbilicals, subsea hardware, and tooling. We also use applied technology expertise to serve the defense, material handling, aerospace, science, and renewable energy industries.

Equal Opportunity Employer:

All qualified candidates will receive consideration for all positions without regard to race, color, age, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, veteran status, disability, genetic information, or other non-merit factor.

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

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.

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.