Data Architect

66degrees

Data Architect with 66degrees assisting customers in their Google Cloud journey by designing scalable data strategies. Guiding clients through cloud solutions to enhance business outcomes.

Posted 5/14/2026full-timeRemote • Illinois • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AirflowBigQueryCloudDjangoFlaskGraphQLMySQLOraclePandasPostgresPythonRDBMSSparkSQL

About the role

Key responsibilities & impact

Facilitate, guide, and influence the client and teams towards an effective architectural pattern and becoming an interface between business leadership, technology leadership and the delivery teams.
Designing of solution architecture on Google Cloud
Implementation of Proof of Concept (POC) and Minimal Viable Product (MVP) workloads.
Design a data platform that accounts for the implementation of:
Database objects
Data
Data Pipelines
Orchestration
Users and Security
Migration of workloads
Perform migration activities including:
Translation of DDL, Stored Procedures, and Queries into BigQuery and Cloud SQL supported (Postgres and MySQL) syntax
Executing data transfers using native Google Cloud and 3rd party tools
Setup and configuration of relative Google Cloud components through Infrastructure as Code (IaC)
Engage with customer teams as a Google Cloud expert to provide:
Education Workshops
Architectural Recommendations
Technology reviews and recommendations

Requirements

What you’ll need

5 years of overall database management and IT experience.
Experience in defining the technical architecture on Google Cloud involving Cloud Storage, BigQuery, Dataproc, Dataflow, and Cloud Functions.
2+ years of Google Cloud experience
Experience in designing data models in BigQuery
Advanced SQL skills, including the ability to:
Write, tune, and interpret SQL queries
Tool specific experience in the RDBMS listed above is ideal
Experience in utilizing SQL Frameworks like dbt or Dataform
Advanced programming skills, preferably in Python, including the ability to:
Utilize data processing frameworks like Spark, Beam, or Pandas
Utilize orchestration frameworks like Airflow or Cloud Workflows
Create APIs by using GraphQL, Fast API, Django, or Flask
Google Cloud Professional Architect and or Data Engineer Certification is preferred
Experience with the healthcare industry specifically creating FHIR stores is a plus
Experience with Heathcare API and Heathcare Data Engine is a plus
Proven experience in migrating databases like Teradata to BigQuery
Proven experience in migration databases like mySQL, Postgres, and Oracle to Cloud SQL.

Benefits

Comp & perks

Equal Opportunity employer
AI-enhanced recruitment experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

solution architectureGoogle CloudBigQuerySQLPythondata modelingdata pipelinesorchestrationAPIsmigration

Soft Skills

facilitationguidanceinfluencecommunicationeducation

Certifications

Google Cloud Professional ArchitectGoogle Cloud Data Engineer