Hybrid Google Cloud Data Architect: BigQuery & AI-ready

Slalom

Nashville (TN)

Hybrid

USD 115,000 - 146,000

Full time

5 days ago
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Benefits offered by this job

401(k) with match
Medical, dental, vision coverage
Paid holidays

Job summary

Slalom, a digital transformation partner, is seeking a Google Data Architect to design and deliver enterprise-scale data platforms on Google Cloud. You will architect solutions using BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub, and related services, guiding migrations and modernizations of client data estates.

You’ll collaborate with Slalom’s Google COE and client teams to define data strategy, enable governed analytics, and accelerate AI-ready data foundations, while participating in

Qualifications

  • :Experience designing enterprise-scale data platforms on Google Cloud.
  • :Strong background in data engineering and cloud-native architectures.
  • :Ability to lead design sessions with client teams and Slalom partners.

Responsibilities

  • Architect enterprise-scale data platforms on Google Cloud.
  • Lead migrations and modernizations of data estates to Google Cloud.
  • Design real-time and batch data pipelines for scalable analytics.
  • Collaborate with client teams to define data strategy and governance.
  • Contribute to pre-sales activities and delivery planning as needed.

Skills

GCP data engineering
BigQuery
Dataplex
Dataflow
Dataproc
Pub/Sub
Looker
Cloud Composer
Data governance
Python/Java/SQL

Tools

BigQuery
Dataplex
Dataflow
Dataproc
Pub/Sub
Cloud Storage
Vertex AI
Looker
Cloud Composer

Job description

Slalom, a digital transformation partner, is seeking a Google Data Architect to design and deliver enterprise-scale data platforms on Google Cloud. You will architect solutions using BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub, and related services, guiding migrations and modernizations of client data estates.

You’ll collaborate with Slalom’s Google COE and client teams to define data strategy, enable governed analytics, and accelerate AI-ready data foundations, while participating in

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