66degrees is hiring a
Data Architect

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66degrees

πŸ’΅ ~$168k-$246k
πŸ“Remote - United States

Summary

Join our team as a Data Architect at 66degrees, where you'll assist customers in their Google Cloud journey through data strategy design and implementation. You'll be responsible for translating business and technical requirements into scalable database solutions.

Requirements

  • 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 and Azure data services (Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, etc.)
  • 2+ years of Google Cloud and Azure 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 and Azure certifications are preferred
  • Proven experience in migrating databases like Teradata to BigQuery
  • Proven experience in migration databases like mySQL, Postgres, and Oracle to Cloud SQL

Responsibilities

  • 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 and Azure
  • Architect and deploy data warehouses and data lakes on GCP and Azure, utilizing services like BigQuery, Azure Synapse Analytics, and Databricks
  • 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

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