GCP Cloud Analytics Engineer

Deloitte • Tampa, FL

2d • $116,200 - $229,100

About The Position

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. The role involves working across complex data environments, cloud platforms, and large-scale transformation efforts to deliver measurable client outcomes.

As part of the AI & Data team, you will contribute to end-to-end cloud analytics architectures, support full-lifecycle implementations, develop cloud-based data solutions, and use automation and analytics to improve insight generation, decision-making, and operational efficiency. You will lead portions of complex technology engagements and coordinate delivery across teams in multiple locations. The role requires an average of 50% travel based on assigned work and clients.

Recruiting for this role ends on 12/30/2026. The listed reasonable compensation range is $116,200 to $229,100, with eligibility for a discretionary annual incentive program subject to its governing rules and performance factors. Deloitte offers employees a broad range of benefits and professional-development opportunities.

Requirements

• At least 5 years of technology consulting or industry experience contributing to end-to-end architecture and solution design using Google Cloud Platform tools.
• At least 1 full-lifecycle implementation using a Google Cloud Platform toolset.
• At least 2 years of experience with SQL and Python.
• At least 1 year of experience leading workstreams within technology engagements with resources in multiple locations.
• Bachelor’s degree or equivalent professional experience.
• Ability to travel an average of 50%, based on the work performed and the clients and industries or sectors served.
• Ability to work independently and collaboratively 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 manage and prioritize multiple tasks in a fast-paced, dynamic environment and meet deadlines.
• Strong interpersonal skills and professional demeanor.
• Ability to provide clear guidance to others.

Nice To Haves

• 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.

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 structured and unstructured data sources.
• Use automation and analytics techniques to help clients improve insight generation, decision-making, and operational efficiency.
• Lead portions of complex technology engagements and coordinate delivery across teams in multiple locations.
• Lead projects or workstreams, provide clear guidance, and manage and prioritize multiple tasks in a fast-paced environment.

Benefits

• Broad range of employee benefits (specific benefits are not listed).
• Eligibility for a discretionary annual incentive program, subject to program rules and applicable factors.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior