Google Cloud Platform Data Architect

Google Cloud Platform Data Architect

Posted Today by 1761817957

Negotiable
Outside
Remote
USA

Summary: The Google Cloud Platform Data Architect role involves designing and implementing data solutions using various Google Cloud services. The position requires expertise in data migration, modeling, governance, and optimization to ensure efficient data management. The role is remote and operates within the Eastern Standard Time zone. It is classified as outside IR35.

Key Responsibilities:

  • Architecting data pipelines for ingestion, transformation, storage, and analysis of data.
  • Choosing appropriate Google Cloud Platform services to meet business requirements.
  • Migrating existing on-prem or other-cloud NoSQL and SQL workloads to Google Cloud Platform.
  • Structuring data for optimal storage and query performance, including relational and non-relational models.
  • Implementing security measures, data access controls, and ensuring compliance with data regulations.
  • Monitoring and tuning data systems for performance and cost-effectiveness.

Key Skills:

  • Expertise in Google Cloud Platform services such as Bigtable, AlloyDB, BigQuery, Firestore/Firebase, Dataflow, and Pub/Sub.
  • Experience in data migration from on-prem or other-cloud environments.
  • Strong knowledge of data modeling for both SQL and NoSQL databases.
  • Understanding of data governance and security compliance.
  • Ability to optimize data systems for performance and cost.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:
Position requirements
US(Remote)-EST Working hours(EST zones profile only)
Job Description
  1. Designing Data Solutions:
    • Architecting data pipelines that handle the ingestion, transformation, storage, and analysis of data.
  2. Technology Selection:
    • Choosing the right mix of Google Cloud Platform services (e.g., Bigtable, AlloyDB, BigQuery, Firestore/Firebase Realtime Database, Dataflow, Pub/Sub) to meet specific business requirements.
  3. Migration Experience
    • Migrate existing on-prem or other-cloud NoSQL workloads to Google Cloud Platform.
    • Migrate existing on-prem or other-cloud SQL workloads to Google Cloud Platform AlloyDB.
  4. Data Modeling
    • Structuring data for optimal storage and query performance, which includes both relational (SQL) and non-relational (NoSQL) models.
  5. Governance and Security
    • Implementing security measures, data access controls, and ensuring compliance with data regulations.
Optimization: Monitoring and tuning data systems for performance and cost-effectiveness