Director, Engineering (Data Platform)

Location: Remote role associated with Tuzla, Bosnia and Herzegovina

Base salary: $125,000–$170,000 annually, depending on location, skills, and experience.

Company

hirify.global provides a personalized health platform combining health plan administration, wellbeing solutions, and care navigation for employers, health plans, and health systems.

What you will do

• Define and own the multi-year data platform roadmap in alignment with Engineering and company objectives.
• Build and develop the engineering organization, including Engineering Managers and senior engineers.
• Establish the operating model for collaboration between product delivery teams and Reporting & Analytics, including data contracts, ownership, SLAs, and intake.
• Guide the design of a scalable, AI-ready cloud data lake platform covering ingestion, transformation, storage, and serving.
• Make data quality, freshness, observability, lineage, and governance core platform capabilities, while partnering with Security, Privacy, and Compliance on healthcare regulations.
• Manage the platform budget, cloud costs, vendors, tooling, success metrics, and reporting to senior leadership.

Requirements

• 12+ years in data or software engineering, including 5+ years leading engineering organizations with managers reporting to you.
• Experience building or significantly scaling a large production data platform in the cloud using AWS, Azure, or GCP.
• Experience working with regulated, sensitive data in healthcare, insurance, or a similar industry.
• Experience with modern data architecture, including data lakes, open table formats such as Apache Iceberg or Delta Lake, batch and stream processing, data modeling, and orchestration.
• Data governance experience across multiple teams, including data quality, PII/PHI management, freshness, and ownership.

Nice to have

• Experience standing up a new organization or consolidating fragmented data functions.
• Hands-on familiarity with Apache Spark, Apache Kafka, and event-driven or microservices architectures.
• Experience supporting ML/AI workloads, including feature stores, model serving, or LLM-based applications.

Culture & Benefits

• Remote work arrangement.
• Health, dental, vision, and mental health benefits.
• Performance recognition, clear direction, and development opportunities.
• Equal opportunity environment focused on diversity, equity, inclusion, belonging, and social justice.