Senior Solutions Acceleration Architect, Data

1 Month ago • 10 Years + • Data Analyst • DevOps

Job Summary

Job Description

This role involves leading the design and development of data-centric solutions on Google Cloud Platform (GCP), showcasing data's potential to solve business challenges. You'll collaborate with customers to understand their needs, build strong relationships, and mentor team members. Responsibilities include iterative refinement of solutions, showcasing the power of data and analytics, and contributing to innovative best practices. You will also be responsible for building trusted relationships with customers and stakeholders and actively contributing to industry thought leadership.
Must have:
  • Bachelor's degree in relevant field or equivalent experience
  • 10+ years customer-facing experience in enterprise technology
  • Experience with modern application development and DevOps
  • Experience presenting to technical and executive stakeholders
  • Experience analyzing business problems and developing technical solutions
Good to have:
  • 10+ years in cloud computing (data architecture, analytics, engineering)
  • Experience architecting for scalable, distributed systems
  • Experience managing stakeholder expectations
  • Experience with database technologies (SQL, NoSQL), streaming data, and data warehousing
  • Proficiency in Python, developing and deploying data solutions

Job Details


Minimum qualifications:

  • Bachelor's degree in business, computer science, or a related field or equivalent practical experience.
  • 10 years of experience in a customer-facing role in the enterprise technology space.
  • Experience with modern application development and DevOps practices, including CI/CD, containerization (Docker, Kubernetes), and infrastructure-as-code.
  • Experience engaging with, and presenting to, technical stakeholders and executive leaders.
  • Experience with analyzing business problems and developing innovative technical solutions leveraging advanced analytics and data.

Preferred qualifications:

  • 10 years of experience in cloud computing, with a focus on data architecture, data analytics, and data engineering, in a customer-facing or consulting role.
  • Experience in architecting and developing software or infrastructure for scalable, distributed systems.
  • Experience understanding customer requirements, breaking them down into components, and designing technical architectures to meet those needs.
  • Experience managing stakeholder expectations and building consensus around technical projects.
  • Experience with database technologies (SQL, NoSQL), streaming data and data warehousing solutions.
  • Passion for building rapid prototypes to demonstrate innovative solutions. Proficiency in programming languages like Python, with experience developing and deploying data solutions.

About the job

In this role, you will lead the design and development of prototypes, demonstrating the transformative power of data, analytics, and software engineering to solve business challenges for our customers. You will play a role in mentoring team members and contributing to the direction of our solution-building efforts.

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.

Responsibilities

  • Lead the design, development, and iterative refinement of data-centric solutions on Google Cloud Platform (GCP), showcasing the potential of data to address specific business needs.
  • Collaborate closely with customers to understand their business challenges, technical requirements, and objectives. Build trusted relationships with customers and stakeholders.
  • Mentor and guide team members, fostering a culture of innovation and continuous learning.
  • Establish and promote innovative best practices and methodologies for data solutions, actively contributing to industry thought leadership through publications, presentations, and community engagement.

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