Data Operations Lead (Hybrid) - 27895

Benefits

• 100% paid employee premium for healthcare, vision and dental plans.
• 10% 401k benefit.
• Generous PTO + 10 paid holidays.
• Education/training allowances.

Job Description

As a member of the Data Operations Team at Enlighten, you will lead a technically focused team responsible for the reliability, uptime, and speed-to-delivery of mission-critical data sets. This role requires a heavy focus on customer interface, serving as the primary technical point of contact for stakeholders. You will manage expectations, communicate technical roadmaps, and translate mission-specific data needs into actionable engineering tasks.

Operational Leadership: Manage the daily operations of the DataOps team, focusing on accelerating data availability and minimizing the latency between initial data identification and final database availability.

Systems Engineering Oversight: Oversee the deployment and maintenance of data flows using standardized templates and core libraries provided by the Engineering team.

Performance Tuning: Responsible for immediate cluster performance tuning and pipeline monitoring to ensure data health and discovery latency are minimized.

Strategic Alignment: Drive the technical evolution of the data platform, moving the organization from a reactive maintenance state toward a proactive, automated, and adaptive operational model.

Ecosystem Coordination: Facilitate technical exchanges to ensure scripts, flow strategies, and wins in one area of the ecosystem are adapted and utilized across others.

Quality Governance: Implement automated 'Quality Gates' and schema validations to ensure data integrity before it reaches production environments.

Technical Troubleshooting: Lead the decomposition of complex technical problems and troubleshoot systemic dataflow issues across distributed messaging, orchestration, and cloud environments.

Other duties as assigned.

Minimum Qualifications

• Security Clearance - Must have a current Secret level U.S. Government security clearance; U.S. Citizenship required.
• Must have 9+ years in technical operations, systems engineering, or data management with a Bachelor’s degree; OR 7 years relevant experience with Masters in related field; OR High School Diploma or equivalent and 13 years relevant experience.
• Distributed Systems & Cloud Platforms: Proven experience managing high-volume data flow and storage solutions, specifically distributed messaging queues, data orchestration engines, and cloud-native storage.
• Observability & Log Analysis: Strong familiarity with enterprise observability platforms and log analysis tools for monitoring system health and minimizing data discovery latency.
• Data Standards: Deep understanding of network data, metadata fill rates, and various log formats such as JSON and XML.
• ETL Management: Fluency in managing extraction, translation, and loading (ETL) processes to enable rapid analytics.
• Data Validation: Experience with Structure Query Language (SQL) for the purposes of data validation in conjunction with members of the team and the customer.
• Scripting for Automation: Ability to utilize scripting languages (e.g., Python or Java) to implement shared libraries that automate repetitive tasks and improve operational efficiency.
• Technical Communication: Exceptional ability to communicate technical concepts to non-technical stakeholders and translate customer mission requirements into technical specifications.
• Must be able to obtain Security+ certification within 60 days of hire.
• Must be able to work in a hybrid environment, spending an average of 1-2 days per week at our Columbia, MD office. Flexibility is essential to adapt to schedule changes as needed.