Data Architect

The team of experts providing analytical services to healthcare clients is looking for a great, long-term 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.

Fundamentals:

• Extensive OLTP and OLAP experience in terms of both SQL and Data Architecture.
• Hands-on experience with Data Modeling and Data-intensive Architecture.
• Ability to help engineers with 3NF normalization.
• Ability to help engineers with Query Optimization.
• Ability to provide guidelines on DWH Data Modeling both for Batching and Streaming architectures. DWH Modeling with a robust, fast, distributed, and modern architecture.
• Understanding of EAV Modeling.
• Understanding of Dimensional Modeling and SCD.
• Understanding of Bi-Temporal History, Time-Variant Analysis.
• Understanding of pros and cons of different Data-related concepts and methodologies: DWH vs Data Lake vs LakeHouse vs Data Mesh, Lambda vs Kappa, Inmon vs Kimball vs Data Vault vs Anchor Modeling.
• Hand-on experience with at least one of the following (or similar) instruments: Spark / Flink / Beam.

Pros:

• Experience with GCP or Cloud-Native Engineering.
• Hands-on experience with Streaming.
• Hands-on experience with Kafka.
• Experience with Data Gov / Lineage and Data Quality.
• Experience with Python.
• Hopefully, “a Unix guy” and not a Windows Vista user.

Limitations:

• Ability to work up to 13-14 EST. Probably, any Asian Time Zone is not acceptable at all.
• We’ll never use Oracle.
• We’ll never use Java. Probably, even for custom DataFlow templates.
• We may never use Scala.
• We’re mostly using GCP-native stack. “Framework engineering” isn’t a top priority.

Our stack:

• Cloud-Native Engineering (Google Cloud Platform).
• “OLTP”: Google Cloud Spanner.
• OLAP: Google Cloud BigQuery.
• Google Kubernetes Engine.
• Apache Beam / DataFlow. No Apache Spark.
• Python, Pandas, FastAPI.
• PHP, Laravel.
• In the future, Go and gRPC.
• Cloud Composer.
• Looker Studio.
• Google Pub/Sub.
• Git, GitHub.
• Shell, Terraform, Circle CI.

What about offer?

• Fully remote work.
• Interesting projects to work on.
• Opportunity to work with international team of first-class professionals.
• Paid vacations.
• Competitive compensation package.

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