Google Cloud Platform

6 days ago

Chennai, India Tata Consultancy Services Full time

Location : Pan India

Exp : 10 - 20 yrs



Job Description- Google Cloud Platform (GCP) Data Architect

Responsibilities:

  • As a member of Data on Cloud CoE (Centre of Excellence) Provide Technical pre-sales enablement covering data architecture, data engineering, data modelling, data consumption, data platform migration and data governance focusing on GCP data platform.
  • Expert level knowledge on GCP Data Platform – Data engineering, performance, consumption, security, governance and admin aspects
  • To work with cross-functional teams in onsite/offshore setup and discuss and solve technical problems with various stakeholders including customer teams.
  • Creating technical proposals and responding to large scale RFPs.
  • Have discussion on existing solution, design/optimize solution and prepare execution planning for development, deployment and enabling end users to utilize the data platform.
  • Role demands excellent oral and written communication skills to organize workshops, meetings with account teams, account leadership and senior stakeholders from client including CXO level.
  • Adept in creating POV and conduct PoC.
  • Liaise with Technology partners like GCP, databricks etc.

Required Skills:

  • 10-15 years of total experience and at least 3+ years of expertise in Cloud data warehouse technologies on GCP data platform covering – Cloud Storage, Data Flow, Data Proc, BigQuery, etc.
  • At least one End-to-end GCP data platform implementation is a must covering all aspects including architecture, design, data engineering, data visualization and data governance (specifically data quality and lineage).
  • Significant experience with data migrations and development of Operational Data Stores, Enterprise Data Warehouses, Data Lake and Data Marts.
  • Good hands-on knowledge on SQL and Data Warehousing life cycle is an absolute requirement.
  • Significant experience with data migrations and development, design, Operational Data Stores, Enterprise Data Warehouses and Data Marts.
  • Experience with cloud ETL and ELT in one of the tools like Data Flow/ Data Proc or Matillion or any other ELT tool and exposure to Bigdata ecosystem (Hadoop).
  • Expertise with at least one of the Traditional data warehouses solutions on Oracle, Teradata, and Oracle Exadata.
  • Excellent communication skills to liaise with Business & IT stakeholders.
  • Expertise in planning execution of a project and efforts estimation.
  • Understanding of Data Vault, data mesh and data fabric architecture patterns.
  • Exposure to working in Agile ways of working.

Good to have skills:

  • Experience in coding languages like Python and PySpark would be an added advantage.
  • Experience in DevOps, CI/CD, GitHub is a big plus.
  • Experience or understanding of Banking and Financial Services business domains.

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