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Staff Technical Solutions Consultant, Data and Analytics

Staff Technical Solutions Consultant, Data and Analytics

1 Month ago • 7-12 Years • Data Analyst

About the job

6 skills required for this role

Add these skills to join the top 1% applicants for this job

python

sql

salesforce

-sap

oracle

cross-functional

Job Description

This Staff Technical Solutions Consultant role focuses on delivering innovative enterprise solutions and AI accelerators using Google Cloud. Responsibilities include designing, building, and extending data, analytics, and AI solutions. You will collaborate with product managers, solution managers, and stakeholders to understand requirements and provide creative solutions. The role requires expertise in enterprise data domains (e.g., SAP, Oracle, Salesforce) and contributing to the overall data and analytics strategy. Experience in cloud architectures, data engineering, Python, and SQL is essential.

Must have:

Bachelor's degree in STEM or equivalent
7+ years solution engineering/architecture experience
5+ years stakeholder management experience
5+ years experience designing/implementing data/analytics solutions
3+ years Python and SQL coding experience

Good to have:

Master's degree in Engineering/Computer Science
Cloud-based data warehouse development experience
Knowledge of data modeling and design principles
Experience with advanced data modeling techniques
Knowledge of data pipeline and ingestion techniques

Perks:

Bonus
Equity
Benefits

Minimum qualifications:

Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
7 years of experience in solution engineering or architecture and 5 years of experience in stakeholder management, professional services, or technical consulting.
5 years of experience in designing and implementing data/analytics solutions based on cloud architectures and technologies.
3 years of experience writing code in Python and SQL.

Preferred qualifications:

Master's degree in Engineering, Computer Science, or in a related technical field.
Experience with cloud-based data warehouse development and data engineering projects.
Knowledge of data modeling, data and analytics design principles, and best practices and how to apply them in distributed cloud environments.
Knowledge of advanced data modeling techniques for relational and no-SQL cloud platforms.
Knowledge of developing data pipeline and ingestion techniques using cloud and open source platforms.

About the job

In this role, you will be focused on delivering the latest innovations with enterprise focused solutions and Artificial Intelligence (AI) accelerators into the market. These solutions are currently offered and commercially available today. You will design, build, and extend data, analytics, and AI accelerator solutions for the enterprise business with Google Cloud.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $171,000-$257,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .

Responsibilities

Collaborate with product managers, solution managers, data and analytics product developers, cross-functional stakeholders and partners to understand requirements, and provide creative data and analytics solutions.
Develop and enhance data and analytics solutions and accelerators based on learnings from customer and partner engagements.
Contribute to the overall strategy and direction of the data and analytics design and framework by which new enterprise data solutions will be developed or extended.
Provide subject matter expertise in enterprise data domains (ERP/CRM) such as SAP, Oracle, Salesforce or other equivalent, or Supply Chain, Manufacturing, Sustainability, or Marketing domains.

View Full Job Description

$171.0K - $257.0K/yr (Outscal est.)

$214.0K/yr avg.

Worldwide

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About The Company

Google

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.