Manager, BI & Data Engineering

Posted 2 Days Ago
Be an Early Applicant
Houston, TX, USA
In-Office
Expert/Leader
Automotive • Information Technology • Other • Transportation • Energy
The Role
Lead and architect the Microsoft Fabric platform; manage a BI and data engineering team; deliver Power BI reporting, data integration, lakehouse/warehouse solutions; build pipelines, Python transformations, and ML models; enforce governance, CI/CD, and capacity management while partnering with stakeholders and data governance.
Summary Generated by Built In

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.
Responsibilities

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

About UsOceaneering 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.
About the TeamOur 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.

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

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Houston, TX
11,000 Employees
Year Founded: 1964

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.

Similar Jobs

Ericsson Logo Ericsson

Warehouse Operator

Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
In-Office
Lewisville, TX, USA
88000 Employees

Ericsson Logo Ericsson

Systems Engineer

Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Hybrid
2 Locations
88000 Employees

Optum Logo Optum

Investigator

Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
In-Office
Houston, TX, USA
160000 Employees
50K-89K Annually

Optum Logo Optum

VP Managed Care Performance & Analytics - Kelsey Seybold Clinics, Pearland, TX.

Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
In-Office
Pearland, TX, USA
160000 Employees
159K-273K Annually

Similar Companies Hiring

Scrunch  Thumbnail
Artificial Intelligence • Information Technology • Marketing Tech • Software • SEO
Salt Lake City, Utah
Standard Template Labs Thumbnail
Artificial Intelligence • Information Technology • Software
New York, NY
25 Employees
Golden Pet Brands Thumbnail
Digital Media • eCommerce • Information Technology • Marketing Tech • Pet • Retail • Social Media
El Segundo, California
178 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account