Google Cloud Data Architect - Data Platforms & AI

Slalom

Raleigh (NC)

Hybrid

USD 115,000 - 146,000

Full time

14 days+

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Benefits offered by this job

401(k) with match
Health, dental, vision insurance
Well-being reimbursement

Job summary

Slalom is seeking a Data Architect for its Google COE to design and deliver enterprise-scale data platforms on Google Cloud Platform. You will migrate and modernize data estates, enable real-time and batch analytics, and lead architecture discussions with clients and internal teams.

You will collaborate with data engineers, dive into BigQuery, Dataplex, Dataflow, and Looker, and contribute to pre-sales efforts with strong communication of options and roadmaps.

Qualifications

  • Broad architecture experience and deep expertise in Google Cloud data engineering technologies.
  • Experience designing and delivering enterprise-scale data platforms on Google Cloud.
  • Ability to facilitate design sessions with clients and Slalom teams.
  • Strong communications skills to describe trade-offs and roadmaps.

Responsibilities

  • Design and deliver enterprise-scale data platforms on GCP.
  • Migrate and modernize client data estates; enable real-time and batch platforms.
  • Lead architecture analysis, design, and delivery of data platform solutions.
  • Support pre-sales activities including defining technical solution options.

Skills

Google Cloud data engineering
Data architecture
Enterprise data platforms
BigQuery / Looker
Python / Java / SQL
Communication
Client engagement
Mentoring engineers
Hybrid collaboration
Pre-sales support

Tools

GCP services
Dataproc
Dataflow
Dataplex
Pub/Sub
BigQuery
Cloud Composer

Job description

Slalom is seeking a Data Architect for its Google COE to design and deliver enterprise-scale data platforms on Google Cloud Platform. You will migrate and modernize data estates, enable real-time and batch analytics, and lead architecture discussions with clients and internal teams.

You will collaborate with data engineers, dive into BigQuery, Dataplex, Dataflow, and Looker, and contribute to pre-sales efforts with strong communication of options and roadmaps.

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