Data Architect - Data Engineering Lead
About Our Client:
The organization operates in the healthcare sector, focusing on improving health outcomes and the efficiency of the health system. It addresses challenges related to health disparities and systemic barriers by providing scalable, data-driven solutions intended to support equitable access to healthcare services and improve overall population health.
About the Opportunity:
The DATA ARCHITECT - DATA ENGINEERING LEAD role is responsible for leading the architecture and engineering standards for modern data platforms. This position ensures the design and implementation of scalable, secure, and cost-effective data solutions that align with business objectives. The role balances leadership in data architecture with hands-on data engineering to guarantee reliable, high-quality data delivery that supports analytics and operational needs.
Responsibilities:
- Define and evolve target-state data architecture including reference architectures and platform standards
- Lead architectural decisions for cloud data platforms covering compute, storage, security, and cost management
- Develop technical roadmaps aligning business outcomes with data capabilities for analytics and AI/ML readiness
- Own enterprise and domain data modeling standards across conceptual, logical, and physical layers
- Ensure consistent data definitions and quality for analytics-ready data products
- Lead design and development of ELT/ETL pipelines using Python and Spark
- Optimize pipeline and data platform performance through tuning and architectural improvements
- Establish engineering practices enhancing reliability and developer productivity
- Design and manage workflow orchestration with Apache Airflow including operational standards
- Implement data quality frameworks and operational monitoring
- Collaborate with governance and security teams to ensure compliant data management
- Mentor engineers and architects through design and code reviews and governance forums
- Communicate complex technical concepts clearly to stakeholders to drive alignment
Requirements:
8+ years in data engineering and/or architecture with enterprise-scale data solution ownership 6+ years designing modern data platforms and integration patterns 3+ years of data modeling experience (dimensional, normalized, canonical)3+ years proficiency in Python and SQL with solid engineering discipline 1+ year experience with cloud data technologies such as Snowflake or Databricks 1+ year experience with Apache Airflow and managed Airflow platforms 1+ year experience implementing production-grade pipelines with CI/CD and operational support 1+ year experience leading technical direction and mentoring engineers Pay Range and Compensation Package: The salary for this role ranges from $112,700 to $193,200 annually based on full-time employment
Benefits & Perks:
401(k) contribution Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
RemoteHunter is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.