Senior Manager, Data Lakehouse

UMGC; United States; Hybrid; USD 160,000 - 175,000; Full time

Benefits offered by this job

Generous Time Off

Health Coverage

Insurance Options

Flexible Spending Accounts

Retirement Plans

Tuition Remission

Job summary

UMGC seeks a Senior Manager, Data Lakehouse to lead the design, implementation, and ongoing management of the enterprise data lakehouse and analytics platform. This role balances hands-on technical leadership with people management and platform operations in a hybrid setting.

You will oversee the Databricks Lakehouse, ELT/ETL, CI/CD pipelines, data governance, and security while collaborating with data scientists, analysts, IT, and business stakeholders to enable analytics and AI/ML enabled

Qualifications

• 7-9 years of experience supporting or delivering enterprise data and analytics platforms.
• 3+ years of experience leading data engineering or analytics teams.
• Higher education data environments; AI/BI integration preferred.

Responsibilities

• Execute and operate Data Lakehouse initiatives aligned with UMGC’s analytics strategy, ensuring the Databricks platform is reliable, secure, and scalable.
• Provide technical and people leadership to a team of data engineers and architects, supporting performance management and coaching.
• Oversee data architecture and engineering activities, including ELT/ETL and CI/CD pipelines and data integration across Bronze, Silver, and Gold layers.
• Monitor day‑to‑day platform operations, ensuring service levels and incident resolution.
• Implement data governance, security, quality, and compliance controls in partnership with security and legal teams.
• Collaborate with data scientists, analysts, IT, and stakeholders to deliver analytics and AI capabilities within governance standards.
• Evaluate and adopt new tools and platform enhancements to improve performance, usability, and cost efficiency.
• Manage delivery commitments, resource planning, vendor coordination, and cost optimization under oversight.

Skills

Databricks Lakehouse

enterprise data platforms

cloud analytics

data governance

Agile/DevOps

stakeholder management

offshore team management

Education

Bachelor’s degree in Information Science and Technology, Library and Information Science, Computer Science, Business Analytics, or a related field.

Tools

Databricks

Job description

Senior Manager, Data Lakehouse

Full-time, Exempt Regular, Pay Grade 4.3

Location: Hybrid (Occasional presence in Adelphi, MD as needed)

The Senior Manager, Data Lakehouse is a senior technical and people leader responsible for executing and operating UMGC’s enterprise data strategy through the design, implementation, and ongoing management of the Data Lakehouse and analytics platform. This role leads the day-to-day operation of the Databricks Lakehouse platform, ensuring data is secure, reliable, and optimized to support analytics and AI/ML enabled decision making. The position balances hands‑on technical leadership, team management, and platform operations while collaborating with cross‑functional stakeholders to support approved enterprise initiatives.

Duties and Responsibilities

• Execute and operate approved Data Lakehouse initiatives aligned with UMGC’s enterprise data and analytics strategy, ensuring the Databricks platform is reliable, secure, and scalable to meet business needs.
• Provide technical and people leadership to a team of data engineers and architects, supporting performance management, coaching, skills development, and continuous improvement in alignment with established goals.
• Oversee data architecture and engineering activities, including ELT/ETL and CI/CD pipelines and data integration across Bronze, Silver, and Gold layers to support analytics, reporting, operational, and AI use cases.
• Monitor and maintain day‑to‑day platform operations, including performance, availability, and issue resolution, ensuring service levels and operational expectations are met.
• Implement and maintain data governance, security, quality, and compliance controls in partnership with information security, legal, and compliance teams, ensuring adherence to regulatory and institutional requirements.
• Collaborate with data scientists, analysts, IT, and business stakeholders to deliver approved analytics, AI, and self‑service capabilities within established architectural, security, and governance standards.
• Contribute to the evaluation and adoption of new tools, technologies, and platform enhancements, providing technical recommendations to improve performance, scalability, usability, and cost efficiency.
• Manage delivery commitments and operational priorities, supporting resource planning, vendor coordination, and cost optimization under approved operating plans and AVP Enterprise Data oversight.

Competencies

Strategic leadership, collaboration, accountability, communication excellence, innovation mindset, change leadership

Skills

Databricks Lakehouse, enterprise data platforms, cloud analytics, data governance, Agile/DevOps, stakeholder management, offshore team management experience.

Education & Experience Requirements

Education

Bachelor’s degree in Information Science and Technology, Library and Information Science, Computer Science, Business Analytics, or a related field.

Experience

• 7-9 years of experience supporting or delivering enterprise data and analytics platforms
• 3+ years of experience leading data engineering or analytics teams

Preferred Experience Requirements

• Higher education data environments; AI/BI integration

Certifications

• Databricks strongly preferred

Workplace Accommodations

The University of Maryland Global Campus is committed to creating and maintaining a welcoming and inclusive working environment for people of all abilities. UMGC is dedicated to the principle that no qualified individual with a disability shall, based on disability, be excluded from participation in or be denied the benefits of the services, programs, or activities of the University, or be subjected to discrimination. For information about UMGC’s Reasonable Workplace Accommodation Policy or to request an accommodation, applicants/candidates can contact Employee Accommodations via email at employee‑[e-mail].

Benefits Package Highlights

• Generous Time Off: Enjoy 22 days of paid vacation, 15 days of sick leave, 3 personal days, and 16 paid holidays (17 during general election years). For part‑time employees, time off rates will be prorated based on the number of hours worked.
• Comprehensive Health Coverage: Access to health care, medical with vision, dental, and prescription plans for both individuals and families, effective from the 1st of the month following your hire date.
• Insurance Options: Term Life Insurance, Accidental Death and Dismemberment Insurance, and Long‑Term Disability (LTD) Insurance. Part‑time employees working less than 0.5 FTE are not eligible for LTD.
• Flexible Spending Accounts: Available for medical and dependent care expenses.
• Retirement Plans: Choose between the Optional Retirement Program (ORP) or the Maryland State Retirement and Pension System (MSRPS).
• Supplemental Retirement Plans: include 401(k), 403(b), 457(b), and various Roth options. The university does not provide matching funds.
• Tuition Remission: Immediate availability for Regular Exempt Staff. Spouses and dependent children are eligible for undergraduate tuition remission after two years of service. NOTE: For part‑time employees (at least 50 percent of the time), tuition remission benefits are prorated.

Hiring Range

$160,000.00 - $175,000.00

Equal Opportunity Employer Statement

The University of Maryland Global Campus (UMGC) is an equal opportunity employer and complies with all applicable federal and state laws regarding nondiscrimination. UMGC is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, ancestry, political affiliation or veteran status in employment, educational programs and activities, and admissions.