Senior Engineering Manager, Partner Data Ingestion
New
J
JobgetherFinancial data
Based in the United StatesFull-TimeManager
SalaryAnnual base salary: $176,000–$330,000, depending on qualifications, skills, experience, and location.
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Job Details
- Experience
- At least 8 years of relevant software engineering experience; at least 5 years of experience managing and developing engineering teams.
- Required Skills
- AWSPostgreSQLPythonSQLApache AirflowSnowflake
Requirements
- At least 8 years of relevant software engineering experience.
- At least 5 years of experience managing and developing engineering teams.
- Experience owning production data pipelines or ingestion platforms where data correctness is essential, such as revenue, billing, or payments systems.
- Experience leading migrations from legacy systems to new platforms while both systems remain in production.
- Strong proficiency in SQL and Python.
- 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.
- Knowledge of data-quality practices, including reconciliation, anomaly detection and review, and investigating discrepancies.
- Experience partnering with Finance, Business Development, or other non-engineering stakeholders on data used for financial and business decisions.
- Ability to coach and provide actionable feedback to engineers at different career stages, including senior and staff-level professionals.
- Experience using automation, including AI-assisted development, to improve engineering productivity and team delivery.
Responsibilities
- Hire, lead, mentor, and develop engineers at multiple levels, including senior and staff engineers, employees, and contractors.
- Own revenue data accuracy across partner files, pricing rules, data warehouse figures, and amounts recognized by Finance.
- Migrate partners and business verticals from legacy ingestion systems to a unified platform, including developing connectors to partner API portals.
- Retire legacy systems after the replacement platform has been validated and proven reliable.
- Move scheduled batch jobs to event-based and hourly processing while maintaining revenue flows and reconciliation accuracy.
- Collaborate with Business Development, Finance, Product, and vertical engineering leaders to sequence migrations, resolve discrepancies, manage dependencies, and meet delivery commitments.
- Own sprint planning, project timelines, prioritization, and execution.
- Promote AI-assisted development and automation, with human review of changes that could affect revenue accuracy.
- Guide decisions on pipeline architecture, data modeling, pricing logic, and platform design.
- Maintain engineering standards for code reviews, testing, documentation, monitoring, and operational reliability.
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