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Principal Data | AI/ML Architect

Information Technology (IT) Job ID: 1798608

COMPANY OVERVIEW:

This company is a full-service cloud advisory and services firm providing sales, development, change management, and ongoing customer success services to organizations interested in moving to & operating in the cloud. They are a leading provider of enterprise IT and a Google Cloud services partner.

They are one of Google’s go-to Security Partners that helps small to Fortune 100 organizations in the transformation journey leveraging Google Cloud’s Products, Services & Solutions to transform and scale their business.

Since 2008 they have been helping organizations change the way they do business by leveraging cloud technologies, and more specifically to Google Cloud enterprise solutions (Google Cloud Platform, G Suite Business, Chrome Enterprise, and Google Maps) and other complimentary cloud service solutions.

 

POSITION OVERVIEW:

As a Principal Data Architect, you will advise clients on how to ingest/store/process/analyze and explore/visualize data on the Google Cloud. You will lead the technical solutions & delivery work on data transformational projects. You will work with clients to design & architect large-scale data processing systems, develop data pipelines optimized for scaling, Data Migrations and build AI/ML solutions utilizing Google’s Vertex AI, GenAI, DocAI etc.

RESPONSIBILTIES:

  • Responsible for design, delivery, and implementation of Google Cloud Platform (GCP) infrastructure and solutions
  • Conduct technical discovery, identifying pain points, business and technical requirements, “as is” and “to be” scenarios
  • Requirement gathering and creation of high level and detailed technical design
  • Cloud solutioning and scoping to generate estimates and approaches for proposals and SOWs for customers
  • Analyze existing systems to identify appropriate data sources
  • Developing data ingestion framework for different sources and build the necessary – infrastructure for optimal ETL from a variety of data sources to be used on GCP services
  • Participate in the architectural discussions, and analysis of newest technologies and suggest the optimal solutions which will be best suited for satisfying the current requirements and will simplify the future modifications
  • Collaborate with the business and application users to scope requirements
  • Identify, Implement and continuously enhance the data automation process

PREFERRED PROFILE:

  • Any Computer Science (or) IT related course, preferably, Bachelor’s degree in Computer Science (or) IT
  • 5+ years of experience in designing and implementing cloud data engineering / AI/ML solutions at the enterprise level
  • Experience with Google Cloud Services such as Streaming + Batch, Cloud Storage, Cloud Dataflow, Data Proc & Big Query, Vertex AI, DocAI, GenAI etc.
  • Knowledge and proven use of contemporary data mining, cloud computing and data management tools
  • 2+ years of experience in any major Cloud architecture and solutions (AWS/Azure/Google Cloud/Oracle/VMware)
  • Google Cloud Certifications
  • Google Cloud Architect
  • Google Cloud Data Engineer

LOCATION: Remote

Job ID# 1798608

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