GCP Cloud Data Solution Architect
Nilasu Consulting Services Pvt. Ltd.
Location
Secunderabad | India
Job description
Company Overview
Nilasu Consulting Services Pvt Ltd is a leading human resources organization operating in the data analytics industry. Our company specializes in providing end-to-end data architecture solutions, including data warehouse, ETL, data lake, and cloud migration services. We pride ourselves on our ability to deliver customized solutions to our clients, and we are looking for a skilled GCP Cloud Data Solution Architect to join our team.
Role And Responsibilities The GCP Cloud Data Solution Architect will be responsible for:
- Utilizing their 12+ years of experience in data analytics to design and implement data solutions across on-premise and cloud environments
- Working with one of the leading cloud platforms, such as Google Cloud, Azure, AWS, or Snowflake
- Handling client proposal (RFP) responses and successfully defending them
- Designing solutions for data warehouse, ETL, data lake, and architecting end-to-end data architecture
- Planning and executing on-premise to cloud migration projects
- Applying their knowledge of architecture patterns like Data Mesh and Data Fabric
- Ensuring data governance and adherence to best practices
- Engaging with stakeholders, including architects and business stakeholders, to present and advocate for technology solutions
- Working in an AGILE and DevOps environment, utilizing tools like Git/Bitbucket, Jira, Jenkins, Maven/Gradle, etc.
- Having an architect or data engineer certification on AWS, Azure, or GCP is an added advantage
- Experience in the telecom or media domain is also preferred
Candidate Qualifications The ideal candidate for this role should have:
- At least 12 years of experience in data analytics, with a focus on on-premise and cloud implementations
- Proven experience with at least one of the leading cloud platforms, such as Google Cloud, Azure, AWS, or Snowflake (with AWS/Azure)
- Demonstrated expertise in handling client proposal (RFP) responses and effectively defending them
- Strong experience in solution designing for data warehouse, ETL, data lake, and architecting end-to-end data architecture
- Knowledge and experience of architecture patterns like Data Mesh and Data Fabric, as well as data governance
- Excellent customer-facing skills, with the ability to present and advocate technology solutions to stakeholders
- Outstanding communication, listening, and influencing skills
- Experience working in an AGILE and DevOps environment with relevant tools
- Previous architect or data engineer certification on AWS, Azure, or GCP would be an added advantage
- Preferred experience in the telecom or media domain
Skills: data fabric,data governance,architect / data engineer,azure,devops workflows,certification on either of aws,influencing,architecture patterns,data warehouse,agile,bigquery,lakehouse,data analytics,git/bitbucket,architecting,jenkins,customer facing,etl,cloud migration,gcp,data architecture,data lake,listening,data mesh,jira,maven/gradle,communication
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