Snowflake cloud Architect

2 days ago


Delhi, India Tata Consultancy Services Full time
Role: Snowflake Cloud Architect

Location: PAN India

Experience range: 10 - 20 years

Responsibilities:

- As a member of Snowflake Data CoE (Centre of Excellence) Provide Technical pre-sales enablement on data on cloud aspects covering data architecture, data engineering, data modelling, data consumption and data governance aspects focusing on Snowflake.- Expert level knowledge on Snowflake 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 Snowflake, Matillion, DBT etc.,

Required Skills:

- 10-20 years of total experience and at least 3+ years of expertise in Cloud data warehouse technologies on Snowflake and AWS, Azure or GCP.- At least one End-to-end Snowflake 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 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 DBT/Glue/ADF 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 Microsoft SQL server.- 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 on cloud services like S3/Blob/GCS, Lambda, Glue/ADF/, Apache Airflow.- Experience in coding languages like Python and PySpark would be an added advantage.- Experience in DevOps, CI/CD, GitHub is a big plus.

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