Engineering TPM: Data Migration & Observability (Splunk)

TEKsystems; Sunnyvale (CA); Hybrid; USD 89,544 - 110,208; Full time

Benefits offered by this job

Medical, dental & vision

401(k) plan

Job summary

TEKsystems is hiring an experienced Engineering Program Manager/Technical Program Manager for a highly technical data-mmigration program emphasizing observability, telemetry, and Splunk-based pipelines. You will partner with application and data engineering and business stakeholders to drive execution across data pipelines and reporting.

The role requires hands-on leadership of complex data initiatives, strong communication, and the ability to translate business needs into engineered solutions.

Qualifications

• 7+ years in an Engineering/Technical Program Manager role.
• Direct experience managing data migration programs.
• Experience with data migration tied to observability, telemetry, logging, dashboards, or analytics platforms.
• Strong experience with Splunk preferred.

Responsibilities

• Drive program execution across application, data, and platform teams.
• Lead planning and delivery for data migration work related to observability and dashboards.
• Define and manage data pipelines into Splunk or similar platforms.
• Translate business requirements into technical execution plans for analytics and system insights.
• Refine ambiguous requirements into clear program plans and timelines.
• Improve data quality, pipeline reliability, and system performance.
• Establish scalable processes for data ingestion, transformation, and delivery.
• Manage roadmaps, milestones, risks, and cross-functional deliverables.

Skills

Engineering PM

Technical PM

Data migration

Observability

Splunk

Cross-functional leadership

Tools

Splunk

Job description

TEKsystems is hiring an experienced Engineering Program Manager/Technical Program Manager for a highly technical data-mmigration program emphasizing observability, telemetry, and Splunk-based pipelines. You will partner with application and data engineering and business stakeholders to drive execution across data pipelines and reporting.

The role requires hands-on leadership of complex data initiatives, strong communication, and the ability to translate business needs into engineered solutions.