GCP Architect.
This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.
About the organisation.
Our client is a prominent global player in the computer software industry, recognized for delivering innovative data and analytics solutions. They foster a culture of technical excellence and continuous learning, supporting large-scale digital transformation projects for a diverse international clientele.
About the role.
We are seeking a highly skilled GCP Architect to lead the design and implementation of enterprise-grade data architectures. You will play a pivotal role in defining data strategy, overseeing cloud migration initiatives, and ensuring the delivery of scalable, secure, and high-performance data platforms.
What you will do.
- Design and implement enterprise-grade data architectures leveraging GCP services.
- Define and govern end-to-end data strategy, architecture standards, and best practices.
- Architect scalable data lakes, data warehouses, lakehouse solutions, and real-time data platforms.
- Lead cloud data transformation and migration initiatives from on-premises and multi-cloud environments to GCP.
- Design batch and streaming data pipelines using GCP-native technologies.
- Collaborate with business stakeholders, data engineers, and application teams to translate requirements into scalable solutions.
- Establish data governance, metadata management, and data quality frameworks.
- Optimize platform performance, scalability, reliability, and cost efficiency.
- Mentor technical teams and provide architectural guidance across multiple projects.
What you bring.
- 12–15 years of IT experience with significant expertise in Data Architecture.
- Strong hands-on experience with BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Composer.
- Deep knowledge of data modeling, ETL/ELT, data warehousing, and lakehouse architectures.
- Proficiency in SQL and at least one programming language such as Python, Java, or Scala.
- Solid understanding of data governance, data quality, and cloud security frameworks.
- Proven ability to lead technical teams and conduct architecture reviews.
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