GCP - Data Engineering Architect

Role & responsibilities Urgent Hiring: Only Immediate Joiners Job Description for Data Engineering Architect Job Summary: We are seeking a highly skilled Data Engineering Architect with deep expertise in Google Cloud Platform (GCP) to architect, design and implement scalable, high-performance data lake solutions. The ideal candidate will have extensive experience in building data ingestion pipelines and managing big data processing projects. Key Requirements: Over 12 years of professional experience in data engineering, specializing in implementing large-scale enterprise Data Engineering projects with the latest technologies. Over 5 years of hands-on experience in GCP technologies and over 3 years of solution architect experience. Design and implement end-to-end data architectures leveraging GCP services (e.g., Big Query, Cloud Storage, Dataflow, Data Proc, Pub/Sub, Cloud Composer ) for large-scale data ingestion and processing. Carries extreme hands-on Python coding Experience in optimising GCP resources for cost and performance Experience in containerisation of applications Manage CI/CD using GitHub actions Exposure to DataPlex, Data Catalog and metadata management GCP IAM and role management Good to have: exposure of SAP S/4HANA / Salesforce integration with GCP for real-time and batch data processing. Develop and manage scalable data ingestion pipelines for structured and unstructured data using tools like Cloud Dataflow , Cloud Pub/Sub , and Apache Spark . Provide architectural guidance for designing secure, scalable, and efficient data solutions on the Google Cloud Platform , integrating with on-premise/cloud systems like SAP S/4HANA . Implement both real-time streaming and batch processing pipelines using Dataflow , and other GCP services to meet business requirements. Implement data governance, access controls, and security best practices to ensure the integrity, confidentiality, and compliance of data across systems. Collaborate with business stakeholders, data scientists, and engineering teams to define data requirements, ensuring the architecture aligns with business goals. Provide technical leadership to the data engineering team, mentoring junior engineers in data architecture and GCP best practices. Preferred Qualifications: GCP Certifications : Such as Professional Data Engineer or Professional Cloud Architect . Apache Spark and Python certifications. Experience with Data visualization tools like Tableau, Power BI etc Interested candidates please do share your CV to ta4@winsolutions.co.in Preferred candidate profile