Job Description
The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Company Overview
A leading professional services organization helps enterprises modernize their data and analytics capabilities through cloud transformation, advanced analytics, and AI-driven solutions. The company partners with clients across industries to design scalable cloud ecosystems, unlock business insights, and accelerate data-driven decision-making.
Data-driven organizations require modern cloud analytics solutions that transform information into actionable insights. The organization is seeking a GCP Cloud Analytics Engineer to help clients design, build, and scale Google Cloud Platform-enabled data ecosystems that support enterprise decision-making, analytics, and business transformation.
This role provides the opportunity to work across complex data environments, cloud platforms, and large-scale transformation initiatives while delivering measurable business outcomes. The successful candidate will contribute to cloud analytics architecture, data engineering, and analytics enablement efforts that help organizations maximize the value of their data assets.
Application Deadline: July 31, 2026
Key Responsibilities
- Design and contribute to end-to-end cloud analytics architectures using Google Cloud Platform services.
- Support full lifecycle implementations across data ingestion, transformation, governance, and analytics enablement.
- Develop and optimize cloud-based data solutions using both structured and unstructured data sources.
- Utilize automation and analytics techniques to improve insight generation, decision-making, and operational efficiency.
- Lead portions of complex technology engagements and coordinate delivery across geographically distributed teams.
- Collaborate with stakeholders to implement scalable and reliable cloud analytics solutions.
- Contribute to enterprise data modernization and transformation initiatives.
Required Qualifications
- 5+ years of technology consulting or industry experience contributing to end-to-end architecture and solution design using Google Cloud Platform tools.
- Experience with at least one full lifecycle implementation using a Google Cloud Platform toolset.
- 2+ years of experience with SQL and Python.
- 1+ years of experience leading workstreams within technology engagements involving resources across multiple locations.
- Bachelor’s degree or equivalent professional experience.
- Ability to travel up to 50% based on client and project requirements.
Preferred Qualifications
- Experience with Snowflake and Databricks.
- Experience with Google Cloud Platform services including BigQuery, Cloud Dataflow, Cloud Data Fusion, Cloud Pub/Sub, and Kubernetes.
- Experience with Spark, Java, Apache Kafka, and Striim.
- Experience with other cloud platforms such as Microsoft Azure and Amazon Web Services.
- Google Cloud Platform certifications.
- Advanced degree in a technical or analytical field.
Key Skills
- Ability to work independently and collaboratively within a team environment.
- Strong written and verbal communication skills.
- Excellent attention to detail and commitment to quality.
- Ability to build and maintain professional relationships.
- Experience leading projects or workstreams.
- Strong organizational and prioritization skills in fast-paced environments.
- Professional demeanor and interpersonal effectiveness.
- Ability to meet deadlines and manage multiple responsibilities.
- Ability to provide guidance and mentorship to team members.
Disclaimer
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- No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
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