Manager, BI & Data Engineering
Indexed description
Location
- Role provides the opportunity to work in a hybrid environment, working both virtually and in the Houston office when required.
- 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.
- Manage, mentor, and develop a team of BI and Data engineers and solution builders.
- 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.
- 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.
- Almost exclusively indoors during the day and occasionally at night.
- Occasional exposure to airborne dust in the workplace.
- Work surface is stable (flat).
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
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.
About The Team
Our regional support functions play a critical role in enabling the success of all Oceaneering business units. These teams include disciplines such as Finance, HR, Recruitment, IT, HSE, Supply Chain, Quality, and Administration. Operating collaboratively across multiple departments and geographic locations, they provide responsive, high‑quality support that ensures our operations run efficiently and safely. Having these teams based locally allows us to make timely decisions, respond quickly to operational needs, and maintain strong alignment with our business units and workforce.
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