15-20 Years of overall Data and Analytics experience with 1. Minimum 10+ years in AWS data platform including AWS S3, AWS Glue, AWS Redshift, AWS Athena, AWS Sagemaker, AWS Quicksight and AWS MLOPS 2. Snowflake DWH architecture, Snowflake Data Sharing, Snowpipe etc. 3. 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 4. Ability to engage and create rapport and relationship with CIO/CDO/CDAO/CTO 5. 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. 6. Experience of hands on working on AWS Cloud Data Platforms. At least 2 certifications in AWS Data/analytics/AI stack is mandatory 7. Expertise in hands on Snowflake including DWH, ETL, security, and meta data aspects.



SnowPro certification is desirable. 8. Experience with related/complementary open-source software platforms and languages (e.g. Java, Python, Scala) 9. Understanding of AWS Bedrock, AI services and Snowflake Cortex services implementation life cycle, latest tools is desirable 10. Strategies and develop IP/solution assets, accelerators, frameworks 11. Be the leader and accountable for partnership, alliances for AWS/Snowflake data/analytics & AI 12. Analytical and consulting skills 13. Robust 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 Working within a project management/agile delivery methodology in a leading role as part of a wider team.

📌 Solution Architect – AWS_Zensar HV (Pune)
🏢 TalentOla
📍 Pune