Skills required to contribute:

1. 13-18 Years of overall Data and Analytics experience with
2. Minimum 10+ years in AWS data platform including AWS S3, AWS Glue, AWS Redshift, AWS Athena, AWS Sage maker, AWS Quick sight and AWS MLOPS
3. Snowflake DWH architecture, Snowflake Data Sharing, Snowpipe, Polaris catalog and data governance (meta data/business catalogs).
4. Knowledge of at least one of the following technologies/methodologies will be an additional advantage: Python, Streamlit, Matillion, DBT, Atlan, Terraform, Kubernetes, Data Vault, Data Mesh
5. Ability to engage with principal data architects of client stakeholders
6. Excellent presentation and communication skills. This role will require regular/frequent client presentation, presales discussions with group of client stakeholders and influence them with our solutions.
7. Experience of hands on working on AWS Cloud Data Platforms. At least 2 certifications in AWS Data/analytics/AI stack is mandatory
8. Expertise in hands on Snowflake including DWH, ETL, security, and meta data aspects. SnowPro certification is desirable.
9. Experience with related/complementary open-source software platforms and languages (eg Java, Python, Scala)
10. Understanding of AWS Bedrock, AI services and Snowflake Cortex services implementation life cycle, latest tools is desirable
11. Strategies and develop IP/solution assets, accelerators, frameworks
12. Engage with partners AWS and Snowflake counterparts
13. Strong written, verbal, and presentation communication skills
14. Be able to work with customers independently.
15. Excellent communication skills interviewing, preparation and delivery of presentations and reports