Staff Data Platform Engineer

Staff Data Platform Engineer

About

Tipalti is seeking a Staff Data Platform Engineer to lead the evolution of its next-generation data platform. This role operates as a player-coach, providing technical vision for the data ecosystem and hands-on implementation of scalable, secure, and intelligent solutions. You will bridge business requirements and technical execution, fostering a data-first culture. Tipalti is an AI-powered platform for finance automation, serving over 5,000 global companies. We pride ourselves on a collaborative culture, quality product, and capable people, offering a flexible workplace and career growth.

Responsibilities

• Design and actively build a comprehensive data platform, writing core code and building tools for diverse workloads.
• Partner with product managers to translate business objectives into technical strategies and lead engineering efforts for delivery.
• Continuously evaluate, prototype, and select best-in-class technologies to future-proof the data stack.
• Act as a primary advocate for platform adoption, mentoring senior and mid-level engineers and fostering a community of practice around data engineering.
• Implement and automate robust frameworks for Data Discovery, Quality, and Governance.

Requirements

• 8+ years of hands-on experience in Data Engineering and Architecture, with a track record of building and shipping platforms at scale.
• Experience with modern big data platforms such as Snowflake, Databricks, or similar technologies.
• Hands-on experience with data infrastructure (Orchestration, scalability, reliability, and cloud architecture).
• Deep understanding of data movement strategies, including high-frequency batching, CDC, and real-time event streaming.
• Deep understanding of database internals. High proficiency in Python and SQL.
• Strong know-how in dimensional modeling and schema design (relational and NoSQL), with proven experience implementing Data Warehouse or Lakehouse architectures.
• Practical experience architecting and building RAG (Retrieval-Augmented Generation) pipelines, with specific knowledge of Vector Databases, Embedding Models, and LLM Orchestration frameworks.
• Strong ability to understand business objectives and translate them into technical strategies.
• Strong ability to influence engineering teams and drive consensus without direct authority.
• Excellent communication skills to explain complex architectural concepts to C-level stakeholders and non-technical partners.