Immunome is seeking an experienced Data Warehouse Principal Architect to define the end-to-end architecture and deployment of the organization’s enterprise data warehouse and analytics platform.
Requirements
- Define and maintain the enterprise data architecture roadmap aligned with business and technology strategy.
- Develop reference architectures, design patterns, and reusable components for data ingestion, transformation, modeling, and analytics.
- Define enterprise standards and governance.
- Lead the design and deployment of enterprise data warehouse and analytics solutions.
- Architect systems that support analytical, operational, and regulatory workloads using both batch and real-time data patterns.
- Define and create semantic, logical, and physical data models to support scalable analytics and self-service consumption.
- Define and implement production operating practices including monitoring, alerting, data observability, performance management, cost management, access controls, and service level expectations for data availability and quality.
- Define and support master and reference data strategies to ensure consistency of critical enterprise data.
- Embed data quality, metadata, and lineage considerations into all architectural designs.
- Partner with governance and stewardship functions to enforce data ownership, classification, and privacy controls.
- Architect data environments that are analytics- and AI-ready, supporting feature engineering, reproducibility, and trustworthy downstream consumption.
- Partner with analytics and data science teams to ensure architectural alignment with advanced analytics use cases.
- Lead cross functional initiatives and working sessions to define priorities, clarify requirements, resolve tradeoffs, and drive timely decisions across stakeholders.
- Lead external consultants, system integrators, and vendors by defining scope, setting deliverables, reviewing work products, and ensuring solutions meet architectural standards and business outcomes.
- Prioritize and deliver foundational commercial readiness data capabilities, including reliable integration of key commercial and enterprise data sources and scalable metric definitions to support reporting and operational workflows.
- Define and evolve the data platform operating model, including support processes, documentation standards, and a scaling plan for additional capabilities, internal roles, and partner support as adoption grows.
Benefits
- Health insurance
- Dental insurance
- Vision insurance
- Retirement plan
- Stock options
- Paid time off
- 401(k) matching
