Summary role description:

Hiring for a Lead Data Engineer – Cloud Data for an Analytics and AI/ML platform provider.

Company description:

Our client is a scaled up, specialist provider of high-end Data & Analytics solutions, across the globe. They have been acknowledged by global leaders as a valued partner in cloud and data systems like Tableau, Snowflake and AWS. The company has been operating for more than a decade and have won many awards in their field. They are a strong company built on entrepreneurial spirit and are highly valued by their clients.

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 practices

Candidate requirements:

• Overall, 14 to 18 years of experience, and candidate must have experience on Data Warehousing (ETL, Matillion, Snowflake), Cloud, Solutioning, 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 rounds
• Managerial round
• HR discussion