Senior Data Cloud Solutions Engineer — AI & Data Pipelines

Google LLC

Cambridge (MA)

On-site

USD 152,000 - 221,000

Full time

5 hours ago
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Benefits offered by this job

Health insurance
401(k) with company match
Paid time off: 20 days/year
Sick time: 40 hours/year (69 inSeattle
Maternity leave: 28-30 weeks
Baby bonding leave: 18 weeks
13 paid holidays

Job summary

Google LLC in the United States seeks an Agentic Data Cloud Customer Engineer to lead technical pre-sales with customers, mapping complex data estates for migration to Google Cloud. You will design, code, and deploy end-to-end Data and AI pipelines, whiteboard modern lakehouse architectures, and run demonstrations to show business value.

The role requires deep expertise in Python, PySpark, and distributed systems, with a focus on cost optimization, governance, and enterprise data strategies

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 10 years of experience as a data or systems engineer, solutions architect, or pre-sales consultant.
  • Experience delivering demos, workshops, or architect overviews to business leaders.
  • Experience migrating, refactoring, or debugging proprietary or open source workloads.
  • Experience building data platforms, warehouses, or data lakes.
  • Experience with data programming languages and leveraging agentic platforms.

Responsibilities

  • Define technical strategy for large accounts, engaging C-level executives via live demonstrations to solve business problems using the Agentic Data Cloud.
  • Design, code, and deploy production-grade Data and AI pipelines and map legacy data estates to open-format architectures (Iceberg).
  • Orchestrate data engineering to deploy PySpark/dbt pipelines using the Data Agent Kit and related tools.
  • Lead showcases and value validations using BigQuery, Spark, and Vertex AI to prove business outcomes.
  • Conduct detailed Total Cost of Ownership analyses and optimize architectures to prevent runaway costs.

Skills

Data engineering
Python
PySpark
Distributed data systems
Demos & workshops

Education

Bachelor's degree or equivalent

Tools

Apache Iceberg
dbt
BigQuery
Spark
Vertex AI

Job description

Google LLC in the United States seeks an Agentic Data Cloud Customer Engineer to lead technical pre-sales with customers, mapping complex data estates for migration to Google Cloud. You will design, code, and deploy end-to-end Data and AI pipelines, whiteboard modern lakehouse architectures, and run demonstrations to show business value.

The role requires deep expertise in Python, PySpark, and distributed systems, with a focus on cost optimization, governance, and enterprise data strategies

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