Senior Engineering Manager, Partner Data Ingestion

The Senior Engineering Manager, Partner Data Ingestion will lead the evolution of revenue-critical data systems that transform partner-reported activity into accurate, recognized revenue. This remote leadership role combines technical strategy, engineering management, and hands-on oversight of a multi-vertical platform migration. You will guide the transition from legacy batch processing to modern event-based and hourly ingestion while ensuring financial data remains accurate, complete, and reliable. Working closely with Finance, Business Development, Product, and engineering teams, you will drive delivery priorities and resolve complex data discrepancies. You will also champion AI-assisted development and automation to accelerate engineering workflows without compromising data integrity. This is an opportunity to build a high-performing team, modernize essential data infrastructure, and strengthen the systems that support critical business and financial decisions.

• At least 8 years of relevant software engineering experience.

• At least 5 years of experience managing and developing engineering teams.

• Proven experience owning production data pipelines or ingestion platforms where data correctness is essential, such as revenue, billing, or payments systems; FinTech or other regulated-industry experience is preferred.

• Demonstrated success leading migrations from legacy systems to new platforms while both systems remain in production.

• Strong proficiency in SQL and Python, with working knowledge of Snowflake and AWS.

• Familiarity with workflow orchestration tools such as Airflow, AWS Step Functions, or similar technologies.

• Experience with relational databases such as PostgreSQL and designing pipelines that are idempotent, observable, reliable, and safe to rerun.

• Working knowledge of data-quality practices, including reconciliation, anomaly detection and review, and investigating discrepancies between source data and reported results.

• Experience partnering with Finance, Business Development, or other non-engineering stakeholders on data used for financial and business decisions.

• Demonstrated ability to coach and provide clear, actionable feedback to engineers at different career stages, including senior and staff-level professionals.

• Strong judgment in balancing delivery timelines with technical quality and reliability in systems where missing or duplicated data can have significant financial consequences.

• A track record of using automation, including AI-assisted development, to improve engineering productivity and team delivery.

• Excellent written and verbal communication skills, particularly when explaining technical decisions, data discrepancies, and operational risks to non-technical stakeholders.

• Strong prioritization, problem-solving, and leadership skills, with the ability to navigate complex migrations while maintaining operational stability.