Manager I, Engineering - Billing Processing

About the Role

The Revenue Data Engineering Teams create the data processing pipelines that measure our customers’ usage and compute revenue across all Datadog products, providing vital insights to a broad variety of users and internal stakeholders. This group of teams is at the leading edge of any new product we release. Data Engineers work with Spark and big data tooling to build highly reliable, verifiably-accurate data processing pipelines for a large-scale mission-critical process. We process complex financial calculations daily to enable critical decision-making for Datadog and our users.

Responsibilities

1. Enhance Billing: Design new financial models to improve FinOps cost transparency and optimize revenue capture.
2. Roadmap Management: Develop and maintain the team’s roadmap, prioritizing initiatives that align with company objectives, customer value, and infrastructure optimization.
3. Manage Data Complexity: Manage complex datasets and data transformations. Establish strong safeguards to guarantee data integrity and accurate billing.
4. Collaborate with Stakeholders: Work closely with peer Managers, Product Managers, and Technical Project Managers to align project goals and influence the evolution of the Billing Platform.
5. Ensure Scalability and Performance: Ensure infrastructure scalability and operational efficiency by leveraging technologies such as Spark, Luigi, and Airflow.

About the Candidate

The ideal candidate will have previous experience as a people manager or technical leader with strong mentorship skills. Experience in career development, performance management, tracking and optimizing team efficiency, OKRs, and hiring is highly desired. Strong communication skills are essential to communicate effectively with technical and non-technical stakeholders, facilitating collaboration across teams and across time zones. Proven experience designing, deploying, and maintaining production data pipelines, as well as familiarity with technologies such as Python, Scala, Spark, Luigi, and Airflow, is required. Strong analytical skills to identify challenges and implement effective solutions are crucial.

About the Company

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries.

Company Culture and Benefits

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits include new hire stock equity (RSUs), continuous professional development, intradepartmental mentor and buddy programs for in-house networking, access to Inclusion Talks, free mental health benefits for employees and dependants aged 6+, and competitive global benefits. Benefits may vary based on the country of your employment and the nature of your employment with Datadog.