GCP Cloud Analytics Engineer
deloitteKansas City (MO)
GCP Cloud Analytics Engineer
Posted today
deloitteKansas City (MO)
SENIORITY
Lead
About the role
Overview:
In this role you design and scale Google Cloud Platform–enabled data ecosystems to support enterprise decision-making and transformation. You will work within the AI & Data team across cloud analytics architectures and end-to-end implementations, driving measurable client outcomes. The position blends hands-on data engineering with leadership across multi-location delivery, applying data-driven methods to improve insight generation and operational efficiency. You will engage with cross-functional teams to shape scalable cloud analytics solutions.
Responsibilities:
Design end-to-end cloud analytics architectures on Google Cloud Platform Support full lifecycle implementations: ingestion, transformation, governance, analytics enablement Develop and optimize cloud-based data solutions using structured and unstructured data Leverage automation and analytics to improve insight, decision-making, and efficiency Lead portions of complex engagements and coordinate delivery across multi-location teams
Key requirements:
5+ years of technology consulting or industry experience in end-to-end architecture and Solution design with Google Cloud Platform tools 1+ full lifecycle implementation using a Google Cloud Platform toolset 2+ years of experience with SQL and Python 1+ years of experience leading workstreams with resources in multiple locations Bachelor’s degree or equivalent professional experience Ability to travel 50% on average Ability to work independently and in a team Effective written and verbal communication Attention to detail and quality of work Google Cloud Platform services: BigQuery, Cloud Dataflow, Cloud Data Fusion, Cloud Pub/Sub, Kubernetes SQL and Python Snowflake and Databricks (preferred)
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