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Senior Data Platform Engineer Apollo.io. As a Senior Data Platform Engineer. , you will play a key role in designing and building the foundational data infrastructure and APIs that power our analytics, machine learning, and product features. You’ll be responsible for developing scalable data pipelines, managing cloud-native data platforms, and creating high-performance APIs using . FastAPI. to enable secure, real-time access to data services. This is a hands-on engineering role with opportunities to influence architecture, tooling, and best practices across our data ecosystem. . Daily Adventures and Responsibilities. Architect and build robust, scalable data pipelines (batch and streaming) to support a variety of internal and external use cases. Develop and maintain high-performance APIs using FastAPI to expose data services and automate data workflows. Design and manage cloud-based data infrastructure, optimizing for cost, performance, and reliability. Collaborate closely with software engineers, data scientists, analysts, and product teams to translate requirements into engineering solutions. Monitor and ensure the health, quality, and reliability of data flows and platform services. Implement observability and alerting for data services and APIs (think logs, metrics, dashboards). Continuously evaluate and integrate new tools and technologies to improve platform capabilities. Contribute to architectural discussions, code reviews, and cross-functional projects. Document your work, champion best practices, and help level up the team through knowledge sharing. Competencies. Excellent communication skills to work with engineering, product, and business owners to develop and define key business questions and build data sets that answer those questions.. Self-motivated and self-directed. Inquisitive, able to ask questions and dig deeper. Organized, diligent, and great attention to detail. Acts with the utmost integrity. Genuinely curious and open; loves learning. Critical thinking and proven problem-solving skills required. Skills & Relevant Experience. Required:. 5+ years experience in platform engineering, data engineering or in a data facing role. Experience in building data applications. Deep knowledge of data eco system with an ability to collaborate cross-functionally. Bachelor's degree in a quantitative field (Physical / Computer Science, Engineering or Mathematics / Statistics). Preferred:. Experience using the Python data stack. Experience deploying and managing data pipelines in the cloud. Experience working with technologies like Airflow, Hadoop and Spark. Understanding of streaming technologies like Kafka, Spark Streaming