Analytics Engineer improving data processes at Zaha Hadid Architects. Developing scalable ELT/ETL pipelines and collaborating across teams for data - driven decision - making.
About the role
- Engineering Manager overseeing analytics engineering and building data-driven solutions for healthcare data interoperability. Collaborating with cross-functional teams to enhance healthcare workflows.
Responsibilities
- Build analytics systems
- Design and build production-grade analytical data models and datasets.
- Translate healthcare data (FHIR, claims, etc.) into reusable analytics assets.
- Develop semantic layers and datasets that power workflows, analytics, and AI/ML applications.
- Perform data engineering tasks (data transformation and workflow orchestration) to reliably land these tables.
- Enable AI-driven data systems
- Create structured datasets that support model training, feature engineering, and feedback loops.
- Partner with AI and Data Science teams to accelerate LLM and agentic AI capabilities.
- Own analytics architecture
- Define the analytics-layer architecture from foundational models to workflow-ready datasets.**Partner with Platform Engineering on ingestion, storage, performance, and scalability.**Implement data quality, governance, and observability.
- Lead the team
- Hire, manage and mentor analytics engineers.
- Establish standards for modeling, testing, and documentation.
- Lead through coaching, code reviews, and hands-on technical leadership.
Requirements
- Expert SQL and analytical data modeling
- Experience with dbt or similar analytics engineering frameworks
- Experience with modern cloud data warehouses and lakes (Snowflake, BigQuery, SparkSQL)
- Deep automation and data reliability practices (testing, monitoring, CI/CD)
- Understanding of modern BI tools and semantic modeling (Sigma preferred)
- Experience building datasets for machine learning or AI systems
- Experience with data transformation and workflow orchestration tools such as dbt and airflow
- Strong hands-on experience building production analytics systems.
- Experience working with healthcare data such as FHIR, clinical datasets, or claims.
- Experience managing or mentoring analytics/data engineers.
- Ability to balance people leadership with hands-on technical work.
- Interest in building data systems that enable AI-driven healthcare applications.
Benefits
- Competitive compensation that reflects the value you bring to the team a combination of cash and equity
- Robust benefits that include health insurance, wellness benefits, 401k with a match, unlimited PTO
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