Technical Lead, Product Owner – 3PD Data Ingestion

Role Overview

• Provide technical leadership, mentoring, and oversight for engineers building and operating 3PD data ingestion pipelines.
• Own the end-to-end data pipelines for loading third-party source systems into the enterprise Data Lake and Data Warehouse.
• Collaborates across Enterprise Data Services on 3PD reference architectures for batch, streaming, near‑real‑time, and event‑driven data movement.
• Lead 3PD ingestion framework development to support diverse source systems.
• Partner with enterprise teams to Evaluate, prototype and adopt new ingestion technologies, features, and approaches to improve reliability, scalability, and developer productivity.
• Ensure ingestion solutions align with enterprise data standards, governance, and security requirements.
• Partner with Reliability Engineering teams to ensure ingestion pipelines meet enterprise availability, resiliency, observability and recoverability expectations.
• Support incident response, root‑cause analysis, and continuous improvement related to ingestion failures and data quality issues.
• Establish and drive observability standards for ingestion pipelines, including freshness, latency, completeness, and error tracking, with a strong emphasis on automation and operational readiness.
• Define and maintain the 3PD data ingestion roadmap aligned with business priorities and enterprise data strategy.
• Prioritize ingestion features, enhancements, and technical debt based on business value, risk reduction, and scalability needs.
• Own ingestion platform intake, backlog grooming, and iteration planning.
• Own ingestion documentation, onboarding materials, standards, and best practices.
• Enable self‑service ingestion for data engineering teams through reusable components and clear guidance.
• Partner with ingestion consumers to resolve data delivery, quality, and usability challenges.
• Partner with external data providers, and internal consumers to support ingestion requirements for third‑party and externally sourced data.
• Coordinate technical onboarding, schema evolution, delivery SLAs, and data quality expectations with vendors and partners.
• Provide visibility into ingestion workload usage, throughput, performance, and cost drivers.
• Identify and recommend optimization opportunities to improve ingestion efficiency while maintaining SLAs and data freshness.
• Partner with engineering and vendor teams to implement cost and performance improvements across ingestion workloads.

Requirements

• 5–7 years of engineering experience with modern data platforms.
• 3+ years of hands‑on experience designing and operating large‑scale data ingestion pipelines.
• Strong understanding of batch and streaming ingestion patterns, data movement, and data lifecycle management.
• Experience with cloud‑based data ingestion architectures and distributed systems.
• Strong understanding of security, resiliency, DevOps, observability, and automation as applied to data ingestion.
• Experience supporting analytics and AI workloads through reliable, high‑quality data ingestion.
• Demonstrated ability to manage a roadmap, prioritize work, and collaborate with engineering teams.
• Ability to communicate and influence across technical and business teams.
• Strategic thinker with the ability to simplify complex ingestion concepts.
• Candidate must be authorized to work in the US without company sponsorship.

Tech Stack

• Cloud
• Distributed Systems

Benefits

• Health insurance
• 401(k) matching
• Flexible work hours
• Paid time off
• Remote work options
• Professional development opportunities
• Employee recognition programs