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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # GCP Cloud Analytics Engineer - **Company:** Deloitte T.T.L. - **Location:** Arlington, VA, United States - **Experience:** Expert - **Salary:** $116,200.0 - $229,100.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Microsoft Azure, BigQuery, Cloud Computing, Cloud Database, Information Technology Consulting, Data Infrastructure, Dataspaces, Data Flow Control, Python (Programming Language), SQL Databases, Google Cloud, Data Ingestion, Snowflake, Apache Spark, Kubernetes, Data Analytics, Apache Kafka, Databricks - **Published:** August 7, 2026 - **Apply:** https://dejobs.org/x/x/E6BC3BF8CB324729BAB4FC609F1BAECB/job/ ## About the Role * Ability to work independently and collaborate as part of a team * Effective written and verbal communication skills * Meticulous attention to detail and quality of work product * Ability to build and sustain professional relationships * Ability to lead projects or workstreams * Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong interpersonal skills and professional demeanor * Ability to meet deadlines * Ability to provide clear guidance to others The Team AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets., * 5+ years of technology consulting or industry experience contributing to end-to-end architecture and solution design using 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 within technology engagements with resources in multiple locations * Bachelor's degree or equivalent professional experience * Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve. * Limited immigration sponsorship may be available. Preferred: * 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, including Microsoft Azure and Amazon Web Services * Google Cloud Platform certifications * Advanced degree in a technical or analytical field ## Description Data-driven organizations need modern cloud analytics solutions that turn information into insight and action. As a Sr Consultant, GCP Cloud Analytics, you will help clients design, build, and scale Google Cloud Platform-enabled data ecosystems that support enterprise decision-making, analytics, and business transformation. This role offers the opportunity to work across complex data environments, cloud platforms, and large-scale transformation efforts to deliver measurable outcomes for clients., As a Sr Consultant, GCP Cloud Analytics on the AI & Data team, you will be responsible for: * Designing and contributing to end-to-end cloud analytics architectures using Google Cloud Platform services * Supporting full lifecycle implementations across data ingestion, transformation, governance, and analytics enablement * Developing and optimizing cloud-based data solutions using structured and unstructured data sources * Using automation and analytics techniques to help clients improve insight generation, decision-making, and operational efficiency * Leading portions of complex technology engagements and coordinating delivery across teams in multiple locations ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Making Data Warehouses fast. 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