Senior Data Engineer

InRule Technology®, Inc. is a PE-backed SaaS company with hundreds of customers in more than 40 countries. Our integrated Decision Intelligence Platform (DIP) combines decisioning, process automation, and machine learning to help IT and business leaders make better decisions faster, operationalize AI, and improve complex processes.

We are trusted by some of the world’s largest banks, insurance companies, healthcare organizations, and governments for mission‑critical applications. By making automation accessible, InRule increases productivity, drives revenue, and delivers exceptional business outcomes.

We are seeking an experienced Senior Data Engineer to own and evolve the data architecture behind our decision intelligence platform. This is a senior software engineering role at its core, with a specialization in data: you are expected to write and ship production code in C#/.NET and operate to the same engineering standards as the rest of our platform team, while bringing deep expertise in data architecture, modeling, and performance tuning.

In this role you will design and build the data schemas, pipelines, and integrations that power reporting and analytics for the customers who depend on us, while establishing the data modeling standards, governance practices, and performance budgets that scale across our engineering organization. The successful candidate will possess deep, hands‑on experience with cloud‑native data engineering on Microsoft Azure and Snowflake, strong SQL and data modeling skills, proven ability to deliver high‑quality cloud‑native services in C#/.NET,

and a passion for building reliable, well‑governed data systems.

• Own and evolve the data architecture for our Azure‑based SaaS platform as data collection and reporting needs grow
• Design, build, and maintain data schemas, pipelines and transformation processes feeding data lakes and data warehouses (e.g. Snowflake)
• Develop and optimize reporting and analytics experiences delivered through embedded analytics platforms (e.g. Sisense)
• Profile and tune query performance across the platform (Snowflake and operational data stores), establishing performance budgets and monitoring
• Design and implement integrations with customer and enterprise data sources (APIs, event streams, batch interfaces)
• Build and extend scalable, secure data and platform services in C#/.NET, contributing production code to containerized services alongside the broader engineering team
• Lead by example on code quality and automated test coverage, provide constructive feedback on pull requests, and participate in Agile ceremonies including sprint planning, stand‑ups, refinements, and retrospectives
• Define data modeling standards, governance practices, and documentation for the engineering organization and mentor other engineers to support adoption
• Ensure data architecture and pipelines meet data privacy and compliance requirements (GDPR, HIPAA, SOC 2), including data residency, retention, and access controls

• Required
• 5+ years of professional data engineering experience, with at least 2 years in a senior or lead capacity
• Deep, hands‑on experience with Snowflake: warehouse design, performance tuning, cost management, and data modeling
• Strong SQL skills, including query profiling and optimization at scale
• Hands‑on experience building data pipelines and integrations on Microsoft Azure (Data Factory, Event Hubs, Functions, or similar Azure services)
• Working understanding of data privacy and compliance frameworks (GDPR, HIPAA, SOC 2) and how they shape data architecture decisions such as residency, retention, encryption, and access control
• Experience designing integrations with external enterprise data sources (REST APIs, change logs, file‑based, streaming events)
• Understanding of data pipeline requirements and workflows needed to support machine learning capabilities within a platform (model training data sets, RAG data stores, etc.)
• Track record of owning data architecture decisions and communicating them to technical and non‑technical stakeholders
• Experience leveraging agentic tools and workflows to aid research, prototyping, design…