
Chief Data Strategist
6 days ago
We are seeking a highly skilled and experienced data professional to design, develop, and govern our data architecture and pipelines.
Key Responsibilities:- Design 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 reporting frameworks and data marts to support business intelligence needs.
- Integrate data platforms with enterprise systems 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.
Proficiency in one or more backend languages/frameworks is required with a strong preference for Python or Go.
Experience with building RESTful APIs and designing microservices for data delivery is also essential.
Preferred Qualifications:- Hands-on experience designing and deploying production-grade data warehouses.
- Deep experience with Google Cloud Platform (GCP) technologies including BigQuery, Cloud Composer, and Vertex AI.
- Experience with other cloud providers and their data services.
The ideal candidate will be passionate about making a difference through healthcare and have a solid grasp of data modeling fundamentals.
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