Negotiable
Outside
Remote
USA
Summary: The Google Cloud Platform Data Architect role involves designing and architecting data solutions using Google Cloud services, focusing on data pipelines, migration, and optimization. The position requires expertise in both SQL and NoSQL data modeling, as well as implementing governance and security measures. This is a contract position based remotely in the USA, specifically for profiles in the EST time zone. The role is classified as outside IR35.
Key Responsibilities:
- Architecting data pipelines that handle the ingestion, transformation, storage, and analysis of data.
- 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.
- 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.
- Structuring data for optimal storage and query performance, which includes both relational (SQL) and non-relational (NoSQL) 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.
- Experience with data pipeline architecture.
- Knowledge of SQL and NoSQL data modeling.
- Experience in data migration from on-prem or other-cloud environments.
- Understanding of data governance and security measures.
- 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
Role: Google Cloud Platform Data Architect
Location: Remote (USA) (EST Zone profiles only)
Job Type: Contract (W2)
- Designing Data Solutions:
- Architecting data pipelines that handle the ingestion, transformation, storage, and analysis of data.
- 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.
- 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.
- Data Modeling
- Structuring data for optimal storage and query performance, which includes both relational (SQL) and non-relational (NoSQL) models.
- 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