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Enterprise Architect
O. C. Credit Union
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- $182,920 to $250,000 USD / year
Embeds with OCFCU project teams and squads on critical initiatives as the lead architect, participating in design sessions, code/design reviews, and troubleshooting.
Added 4 mins ago
Engineer, Drive Unit Test & Validation
Lucid Motors
Newark, CA
…and powertrain components. Based on your expertise, you will lead or support the testing of specific sub-systems, ensuring that all performance, durability, and environmental tests are…
Added 11 mins ago
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Sr Manager, Performance Analytics & Insights, Oncology
Pfizer Inc
NY · IL · PA
- $124,400 to $207,400 USD / year
Senior Manager, Performance Analytics & Insights
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Senior Specialist, Software Engineering - Test
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San Diego, CA
Job Title: Senior Specialist, Software Engineering - Test
Added 18 mins ago
LW
Flight Software Engineer
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- $115,000 to $250,000 USD / year
…own well-defined features and components with guidance from senior teammates; mid-level engineers own subsystems end to end; senior and staff engineers set architecture and day-to-day…
Added 19 mins ago
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Senior Systems Administrator
DREAM
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- $105,000 to $115,000 USD / year
Reporting to the Infrastructure Manager, the Senior Systems Administrator ensures that DREAM’s technology infrastructure is secure, reliable, and ready to scale across four campuses of a…
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Lead Value Engineer - CGPR
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Added 21 mins ago
WI
(USA) Senior Manager, Data Science - AI Strategy (Spark Earnings Excellence)
Walmart Inc.
United States
- $110,000 to $220,000 USD / year
Role summary: As a Senior Manager, Data Science - AI Strategy (Spark Earnings Excellence), you will own and drive the AI and automation strategy for the Spark Earnings Excellence team. You…
Added 21 mins ago
Technology Evaluation & Assessment Lead
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Technology Evaluation & Assessment Lead
Command Post Technologies, Inc.
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Principal Software Engineer
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United States
Lead architecture discussions and make authoritative technical design decisions for web application and platform components.
Added 26 mins ago
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Data Engineer - Level III
ATTAINX INC
Fort Collins, CO
- $120,000 to $135,000 USD / year
Job Title: Data Architect / Data Engineering Lead
Added 30 mins ago
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Lead Data/AI Engineering
AT&T Services, Inc.
Remote, United States
- $158,200 to $237,400 USD / year
Design, Development, Testing, and Deployment: Lead the creation of scalable Data & AI applications using best practices in software engineering such as automation, version control, and…
Added 30 mins ago
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Principal Software Engineering
AT&T Services, Inc.
Remote, United States
- $174,100 to $261,100 USD / year
As a Principal Software Engineering, you will be a lead architect for AT&T's AI-powered tools, automation platforms, and Agentic AI ecosystem, responsible for building and scaling the…
Added 33 mins ago
Manager, CPE Data Engineering Lead
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Added 38 mins ago
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Senior Software Engineer
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We are hiring Senior Software Engineers to help shape the future of January’s platform. Instead of applying to individual teams, you will apply once and we will work together during the…
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Senior Software Engineer
AMEGO INC
Attleboro, MA
- $120,000 to $160,000 USD / year
· Expert TypeScript/JavaScript and Python skills for full-stack and AI/service development.
Added 43 mins ago
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Senior Full Stack Software Engineer - Shared Services
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Remote, United States
- $130,000 to $145,000 USD / year
As a Senior Full-Stack Software Engineer on the Shared Services team at Bluesight, you will spearhead the design, development, and maintenance of both front-end and back-end applications.…
Added 44 mins ago
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Senior AI/ML Engineer
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Principal AI Engineer
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Senior Software Engineer
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Gaithersburg, MD · Alexandria, VA · Chantilly, VA · Tucson, AZ
This is a unique opportunity to combine hands-on full-stack software engineering with Agile team leadership. You'll lead one or more teams to develop modern, responsive user experiences…
Added 59 mins ago
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Senior Data Engineer
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- $130,000 to $200,000 USD / year
We are looking for a Senior Data Engineer to help build, operate, and continuously improve the data infrastructure that powers analytics and business intelligence across Tala's global…

Stateside

Senior Engineer Data Enablement & Management, Databricks

Adelphi, MD, United States

$119,000.00 - $129,000.00

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Job details

Pay: $119,000.00 - $129,000.00
Posting language: English
Posted: Nov 4, 2026

Original job description

Senior Engineer Data Enablement & Management, Databricks

Enterprise Architecture, Data, & Integrations

US Exempt Regular

Full time

Stateside Exempt 4.3

Senior Engineer Data Enablement & Management Central IT Admin Exempt Regular 4.3 Location: Adelphi, MD (Hybrid, On-Site Presence Required)

The Senior Engineer, Data Enablement & Management is responsible for leading the design, implementation, modernization, and operational reliability of UMGC's enterprise Lakehouse and Data & AI platform. This role serves as a senior technical leader for enterprise data engineering, data platform operations, and advanced analytics enablement, providing expertise across Databricks, Delta Lake, Apache Spark, AI/BI capabilities, and cloud data architectures. The Senior Engineer leads complex data initiatives, mentors engineering staff, establishes engineering standards, and partners closely with Data Architecture, Data Science & AI, Business Intelligence, Application Engineering, and business stakeholders to deliver scalable, secure, and trusted enterprise data capabilities.

Duties and Responsibilities:

Enterprise Data Engineering & Technical Leadership.

Lead the design, implementation, optimization, and operational maturity of enterprise data engineering capabilities across the Data & AI platform. Establish engineering standards, reusable frameworks, architectural patterns, automation practices, and operational procedures that support scalable and reliable enterprise data services.

Data Integration, Lakehouse & Platform Modernization.

Lead development and modernization of enterprise data pipelines, Lakehouse architecture components, data products, and integration capabilities supporting structured, semi-structured, and unstructured data.
Guide complex migration and modernization efforts, including Redshift-to-Databricks transitions and enterprise data platform transformation initiatives.

AI, Analytics & Data Product Enablement.

Lead engineering efforts supporting Databricks AI/BI dashboards, Genie Agents, Genie One, semantic models, governed data products, data marts, and advanced analytics capabilities.
Ensure platform capabilities effectively support business intelligence, AI, machine learning, operational analytics, and self-service reporting objectives.

Data Governance, Quality & Security Engineering.

Lead implementation of data quality frameworks, metadata management, lineage capabilities, observability controls, security policies, and governance standards.
Ensure enterprise data assets meet organizational requirements for trust, compliance, auditability, privacy, and operational reliability.

Platform Operations, Reliability & Performance Optimization.

Provide senior-level engineering leadership for platform monitoring, resilience, performance optimization, troubleshooting, incident management, and operational support.
Lead efforts to improve service reliability, scalability, efficiency, cost management, and operational maturity across enterprise data environments.

Mentoring, Innovation & Continuous Improvement.

Mentor engineers and technical resources while contributing to engineering standards, design reviews, technical evaluations, and platform best practices.
Evaluate emerging technologies and automation opportunities that advance organizational data, AI, and analytics capabilities.
Other duties as assigned.

Competencies:

Advanced data engineering and Lakehouse expertise
Technical leadership and engineering excellence
Enterprise data architecture implementation
Data quality, governance, and security awareness
Analytical thinking and complex problem solving
Systems thinking and platform optimization
Automation and operational excellence
Collaboration and stakeholder engagement
Mentoring and knowledge sharing
Accountability and results orientation
Innovation and continuous improvement
Adaptability and continuous learning.

Skills:

Databricks Data Intelligence Platform
Apache Spark, Delta Lake, and Medallion Architecture
Enterprise data engineering and pipeline development
Databricks AI/BI dashboards, Genie Agents, and Genie One
Advanced SQL, Python/PySpark, and Scala
AI/ML enablement and MLflow operations
Data product engineering and semantic model development
Lakehouse, data warehouse, and data lake architecture implementation
Data integration, APIs, JDBC, cloud storage, and orchestration
Unity Catalog, metadata, lineage, and governance technologies
Data quality, observability, monitoring, and automation
Zero Trust security controls and data protection
Azure and AWS data platform services
CI/CD, DevOps, DataOps, AIOps, and MLOps
Performance tuning, scalability, and cost optimization
Technical mentoring and engineering governance.

Education & Experience Requirements:

Education:

Bachelor's Degree in Computer Science, Information Systems, Software Engineering, Data Science, Information Technology, Computer Engineering, or a related technical discipline or equivalent combination of education and experience.

Experience:

5+ years of progressive experience in data engineering, data platform engineering, analytics engineering, database engineering, or related disciplines.
Experience leading enterprise-scale Databricks, Delta Lake, Spark, and Lakehouse implementations.
Experience designing and operating enterprise data pipelines, governed data products, and analytical platforms.
Experience supporting Databricks AI/BI capabilities, semantic models, Genie Agents, and advanced analytics solutions.
Experience implementing enterprise data governance, observability, security, and operational controls.
Experience leading modernization, migration, automation, and platform optimization initiatives.
Experience mentoring engineers and serving as a senior technical resource for data platform initiatives.

Certifications:

Not required.

Preferred Experience Requirements:

Education:

Master's Degree in Computer Science, Information Systems, Software Engineering, Data Science, Information Technology, Computer Engineering, or a related technical discipline (or equivalent combination of education and experience).

Experience:

8+ years of progressive experience in enterprise data engineering, cloud data platforms, analytics engineering, AI enablement, or Lakehouse operations.
Experience serving as a Senior Data Engineer, Lead Data Engineer, Data Platform Engineer, Analytics Engineer, or similar senior technical role.
Experience leading enterprise data modernization, Lakehouse transformation, AI enablement, and cloud migration initiatives.
Experience integrating PeopleSoft, D2L, Salesforce, Workday, ERP, CRM, LMS, and SaaS platforms into enterprise data ecosystems.
Experience implementing advanced governance, metadata, lineage, MDM, AI/ML, and observability capabilities.
Experience working within higher education or similarly complex enterprise environments preferred.

Certifications:

Databricks Certified Data Engineer Professional
Databricks Certified Machine Learning Professional
Azure Data Engineer Associate
Microsoft Fabric Analytics Engineer Associate
AWS Certified Data Engineer Associate
AWS Solutions Architect Associate or Professional
ITIL Foundation or advanced ITSM certification.

All submissions should include a cover letter and resume.

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.

Workplace Accommodations:

The University of Maryland Global Campus Global Campus (UMGC) 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-accommodations@umgc.edu.

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:

$119,000.00 - $129,000.00

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