Snowflake cloud architect

3 days ago

Bengaluru, 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 Co E (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 Po C.
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 Py Spark would be an added advantage.
Experience in Dev Ops, CI/CD, Git Hub is a big plus.

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