Data Architect

The team of experts providing analytical services to healthcare clients is looking for a Data Architect.
You will join an international team of first-class professionals who are passionate about creating products that improve the quality of medical services.
The company offers exposure to a variety of industries and technologies, room to grow as a professional, time in projects to learn new skills and an opportunity to work with phenomenal coworkers, some of the best people on the planet.
Data Architect is supervising the data management and data governance practices across the data projects for the Cloud-native medical platform.
Fundamentals:

2+ years of experience with GCP Data Services (BQ, Spanner, Dataflow, Composer);

Extensive OLTP and OLAP experience in terms of both SQL and Data Architecture;

Ability to provide guidelines on DWH/LakeHouse Data Modeling both for Batching and Streaming architectures. DWH/LakeHouse Modeling with a robust, fast, distributed, and modern architecture;

Understanding of Dimensional Modeling and SCD;

Good understanding of data governance practices (DQ, data lineage, data stewardship);

Extensive experience in leading whiteboarding sessions (Lucid, MS Visio);

Strong leadership and negotiation skills: adept at driving change through influence and effective networking.

Pros:

Experience in the Healthcare business domain;

Good understanding of HIPAA Compliance;

Experience with Enterprise Data Modeling (Data Vault, Inmon);

Experience with Data Mesh;

Experience with data contracts;

Understanding of the Enterprise Architecture Frameworks (CSVLOD, TOGAF);

Experience with Python.

Limitations:

Ability to solve a couple of SQL problems in our live coding interview;

Ability to build an e2e data platform in GCP given constraints and business priorities;

Ability to work up to 13-14 EST. Probably, any Asian Time Zone is not acceptable at all.

Technical Stack:

GCP in general

GCP Cloud Build

OLTP: Google Cloud Spanner

OLAP: Google Cloud BigQuery, BigLake

Google Kubernetes Engine

DataFlow

Python

Cloud Composer

Looker Studio

Google Pub/Sub

Benefits:

Flexible working hours;

Remote work;

Interesting projects to work on;

Exposure to a variety of industries and technologies.

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