Summary role description:

Hiring for a Solution Principal for an Analytics and AI/ML platform provider

Company description:

Our client has sharp focus on cloud, data, and analytics, providing their clients the requisite strategies, tools, capabilities, and capacity for deriving competitive advantage from their data. Our client has been acknowledged as a valued top partner by global leaders in the cloud and data ecosystem – like Tableau, Salesforce, Snowflake and AWS. Having been in operations for more than a decade now, our client is highly valued by their customers – who place sustained repeat business – and by their competent, spirited, and well-rewarded employees.

Role details:

• Title / Designation: Solution Principal - Cloud Data
• Role type: Lead
• Reporting Manager:  Practice Head
• Location: Bangalore / Gurgaon / Mohali
• Work mode: Hybrid

Role & responsibilities:

• Thought leader on Cloud Data / Data Engineer space with very good understanding of Data Ecosystem. Good knowledge of Snowflake Ecosystem is a must
• Ability to interact with the CXO’s and convince them on the solution proposed.
• Ability to define Data Blueprint, Roadmap exercise for clients
• Ability to interact with the Partner Ecosystem and jointly work on Sales Leads
• Ability to define and sharpen our Service Offerings and Solutions
• Knowledge of Financial services domain is an added Plus
• Ability to work with cross functional teams (Practice, Delivery, Sales, Leaders etc)
• Ability to work on defining solutions working closely with Presales/Practice teams
• Ability to incubating new technology practices & steering to hyper scale growth through partner ecosystem
• Responsible for existing accounts growth and penetration, driving new business around Applications/ Data Engineering areas
• Responsible for customer success and mentoring engineering teams within practice

Candidate requirements:

• Overall, 14 to 18 years of experience, and candidate must have experience on Data Warehousing (ETL, Matillion, Snowflake), Cloud, Solutioning, Architect Implementation, Pre-Sales
• Experience in Data Prep / ETL: Snowflake Ecosystem, Databricks, Matillion, DBT, Alteryx etc
• Experience in Database: Oracle, SQL Server etc
• Experience in Cloud: AWS, GCP, Azure

Selection process:

• Two technical interviews
• HR Discussion