Senior Enterprise Data Architect

We are seeking a Data Architect to design, develop and govern our data architecture and pipelines.

This role is ideal for individuals who are passionate about making a difference through healthcare. The candidate will need to be collaborative, organized, think out-of-the-box and ready to pursue new opportunities.

Key Responsibilities:

• Design and implement scalable and robust data architectures for data warehousing and enterprise data platforms.
• Develop and optimize data pipelines and ETL/ELT/CDC workflows using tools like Fivetran and Cloud Composer.
• Collaborate with data scientists, product managers and business stakeholders to define data requirements and create logical and physical data models.
• Manage and administer various database systems, including BigQuery, SAP HANA and PostgreSQL.
• Ensure data quality, integrity and security across all data platforms and pipelines.
• Work with AI/ML teams to design data serving layers and feature stores that support Vertex AI workloads.
• Design and develop reporting frameworks and data marts to support business intelligence needs.
• Integrate data platforms with various enterprise systems (CRMs, ERPs) and third-party APIs.
• Define and implement data governance, master data management and data cataloging strategies.
• Contribute to the full data lifecycle: requirements gathering, architecture, data modeling, development, testing and deployment.
• Troubleshoot and resolve data platform issues to ensure high availability and optimal performance.

Required Skills and Qualifications:

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science or a related field.
• Proficiency in one or more backend languages/frameworks, with a strong preference for Python or Go.
• Experience with building RESTful APIs and designing microservices for data delivery.
• Solid grasp of data modeling fundamentals, including Kimball and Inmon methodologies.
• Proficiency in writing complex SQL queries and experience with SQL and NoSQL databases.
• Familiarity with data warehousing concepts and best practices, including CDC.
• Strong version-control habits (Git) and experience with CI/CD pipelines.
• Excellent problem-solving, communication and collaboration skills.
• Passion for continuous learning and adapting to emerging data technologies.

Preferred Qualifications:

• Hands-on experience designing and deploying production-grade data warehouses.
• Deep experience with Google Cloud Platform (GCP):
• BigQuery for large-scale analytical workloads.
• Cloud Composer for orchestrating complex data pipelines.
• Vertex AI for AI/ML model serving and feature stores.
• Experience with other cloud providers (AWS, Azure) and their data services.
• Working knowledge of data governance frameworks, master data management and data cataloging tools.
• Experience with data ingestion tools like Fivetran.
• Business-intelligence expertise in building dashboards and reports with Power BI or Tableau.
• Familiarity with other data technologies such as SAP HANA.
• Understanding of MLOps concepts and their application to data pipelines.
• Contributions to open-source data projects or technical blogging/presentation

Benefits:

• Opportunity to work on cutting-edge data technologies.
• Collaborative and dynamic work environment.
• Professional growth and development opportunities.

Others:

• We value diversity and inclusion in the workplace.
• We offer competitive compensation and benefits packages.
• We prioritize employee well-being and work-life balance.