Principal Data Engineer

**Principal Data Engineer** *(Path to Data Engineering Manager)* **Location:** Remote \- anywhere in the United States **Employment Type:** Full\-Time **Reports To:** VP of Engineering **Team:** Will directly manage 3–5 offshore Data Engineers, with growth into a broader data engineering leadership role over time **About Springbrook Software** ============================== Springbrook Software is the cloud finance and ERP platform trusted by 3,000\+ local government agencies across the United States. Our Cirrus platform delivers modern, multi\-tenant SaaS solutions spanning finance, payroll, HR, utility billing, property tax, budgeting, permitting, and payments helps communities deliver the responsive, secure, and transparent services citizens expect. We have been named to the GovTech Top 100 for six consecutive years and backed by Five Arrows and Accel\-KKR, we are aggressively expanding the Cirrus platform and investing deeply in AI to define the next generation of government technology. **About the Role** ================== We're hiring a **Principal Data Engineer** who wants to stay deeply technical while growing into people leadership. This is fundamentally an **individual\-contributor / architect role** and you'll be the primary hands\-on builder of our data platform, writing production code in **Databricks and Azure** on a daily basis. Alongside that, you'll manage and mentor a small team of **3–5 offshore data engineers**, giving you a natural runway toward a full\-time Data Engineering Manager role as the team and platform scale. You'll be the technical owner of a **global data platform** that unifies data across **10\+ products**, supports both **transactional and analytical workloads**, and is architected from day one to onboard **future acquisitions** cleanly. You'll also design the platform's orchestration layer to support **complex agentic AI workflows**, including **agent\-to\-agent (A2A) communication** between autonomous systems. **What You'll Do** ================== ***Platform ArchitectureHands\-On Engineering*** * **Architect and build** a unified, multi\-tenant data platform on **Databricks** (Delta Lake, Unity Catalog, Workflows, MLflow) and **Azure** (ADLS Gen2, Azure Data Factory, Synapse, Azure Functions, Event Hub/Event Grid, Key Vault) that integrates data from **10\+ product lines** into a single source of truth. * Design the platform to be **growth\-ready**, with modular ingestion patterns, flexible schema onboarding, and governance structures that let new products or acquired companies plug in without re\-architecture. * Build and optimize pipelines that serve **both transactional (OLTP\-adjacent, low\-latency) and analytical (OLAP, batch/streaming) use cases** from a shared underlying platform, using the medallion architecture (bronze/silver/gold) and appropriate serving layers for each workload type. * Design and implement the orchestration layer for **agentic AI workflows**, including **agent\-to