Profile:

• Data Architect in GCP cloud with overall 7 to 11 years of experience and minimum 1+ year of experience in architecting and designing Data Lake and Data Analytics solutions on GCP cloud.

Must have skills:

• In-depth knowledge and hands-on experience in GCP cloud native services such as BigQuery, Dataproc, Dataflow, Pub/Sub, Cloud Data Fusion, Data Catalog, Cloud Composer and Google Data Studio etc.
• Strong knowledge and experience in Cloud Bigtable, Cloud Spanner, Cloud SQL, Database Migration Service, Firebase Realtime Database and Memorystore.
• Respond to RFPs providing the solution Arch.
• Experience in architecting and designing solutions leveraging services like Cloud Bigquery, Clod Data Flow, Cloud Pub OR Sub, Cloud BigTable
• Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc.
• Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing and curation.

Good to have skills:

• Experience with any scripting languages, preferably Python.
• GCP certified Cloud Architect certification.
• Exposure in building Apache Spark based data processing jobs is a plus.
• Exposure in Looker BI tool is a plus.

Domain:

• Exposure to one of Telecom, Manufacturing, BFSI, HLS domains

Role & Responsibilities:

• You will be aligned with our Data & Analytics practice and you will responsible for designing and architecting solutions using AWS services and tools.
• This role needs you to participate in customer meetings or workshops.
• Work on proposals, RFIs/RFPs, execute PoCs and pilot projects for customers.
• You are expected to contribute to D&A practice in building the capabilities in new age tools and technologies.
• Evaluate domain, financial and technical feasibility of solution ideas with help of all key stakeholders.