Staff Data Engineer (AI)

Location: United States; remote

Company

hirify.global develops data-first contract lifecycle management software with AI, integrations, and a no-code agreement platform.

What you will do

• Lead the design and delivery of an efficient, scalable contract data model and plan migrations with minimal disruption to existing customers.
• Define long-term data architecture and the system of record with Product and Engineering leadership.
• Build and maintain scalable batch and streaming data pipelines across core applications, AI services, and analytics systems.
• Build and evolve the data warehouse and analytics layer supporting customer insights, workflow automation, and AI-driven features.
• Establish monitoring, automated data quality checks, governance, documentation, lineage, and retention standards.
• Guide architecture decisions, design and code reviews, mentoring, and multi-quarter data roadmap initiatives while collaborating with Data Science, ML, Professional Services, and customer-facing teams.

Requirements

• 8+ years of data engineering experience, including ownership of data models for complex, production SaaS products at high scale and low latency.
• Deep expertise in relational, dimensional, entity, and graph-based data modeling, including choosing structures for scale, flexibility, and performance.
• Experience leading large-scale schema redesigns or data migrations in live, multi-tenant environments with minimal customer disruption.
• Hands-on experience building and operating production batch and streaming pipelines using tools such as Spark, Kafka, Airflow, Glue, or similar.
• Experience with modern data platforms, including warehouses and lakehouses, preferably on AWS.
• Understanding of data governance, data quality, row-level and field-level security, and access-control models, with experience implementing testing, monitoring, and observability.
• Experience designing semantic layers or data models for analytics, BI, and AI or LLM-based applications.
• Ability to drive architecture decisions across teams, write clear design documents, and scope and plan multi-quarter initiatives.
• Strong communication skills for collaboration with product managers, engineers, data scientists, and customer-facing teams.

Nice to have

• Familiarity with contract lifecycle management, legal tech, or document-heavy enterprise domains.

Culture & Benefits

• Remote, full-time employment in a diverse and inclusive workplace.
• Support for Employee Resource Groups and an environment focused on healthy work-life balance.
• Floating holidays and a quarterly no-questions-asked wellness day.
• Applications are reviewed as submitted, with no application deadline.