Data Architect

Data Architect

The candidate will need to be collaborative, organised, think out-of-the-box, and be ready to pursue new opportunities. Most importantly, this role is for an individual who is passionate about making a difference through healthcare.

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 (Change Data Capture) workflows using tools such as

  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 our 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.
• Document technical designs, data lineage, and architecture for cross-functional reference.

Required 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