Senior Engineer Data Enablement & Management (Redshift/Databricks)

umgc; Adelphi (MD); Hybrid; USD 120,000 - 160,000; Full time

Job summary

UMGC is seeking a Senior Engineer for Data Enablement & Management in Adelphi, MD. Hybrid/on-site role leading the enterprise Lakehouse, Databricks, and data platform operations.

The role drives data product enablement, AI/BI capabilities, and governance across teams, with emphasis on reliability, security, and scalable data services.

Qualifications

• Bachelor's degree in a technical field or equivalent.
• Extensive experience with data engineering and enterprise data platforms.
• Proven leadership in data lakehouse, Delta Lake, and Databricks.
• Experience with migrations from Redshift to Databricks.

Responsibilities

• Lead design, implementation, optimization, and reliability of enterprise data pipelines and Lakehouse architecture.
• Governance, quality, security, and metadata management of data assets.
• Mentor engineers, set engineering standards, and drive platform maturity.
• Collaborate with Data Architecture, Data Science & AI, BI, and stakeholders to deliver scalable data capabilities.

Skills

Databricks

Spark

SQL

Python

PySpark

Scala

AI/ML enablement

Automation

Education

Bachelor's degree in a technical field

Tools

Azure

AWS

CI/CD

Genie Agents

Genie One

Job description

Senior Engineer Data Enablement & Management (Redshift/Databricks)

Enterprise Architecture, Data, & Integrations

US Exempt Regular

Full time

Stateside Exempt 4.3

Senior Engineer Data Enablement & Management (Redshift/Databricks)

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 combin