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SalaryUp to INR 60 LPALocationChandīgarh, IndiaIndustryInformation Technology and ServicesJob Description
Summary role description:
Hiring for Cloud Data – Practice Lead position 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: Cloud Data – Practice Lead
- Location: Chandigarh (Mohali)
- Work type: On-site
Role & responsibilities:
- Define and sharpen the Go-To-Market startegy around around the solutions and offerings of the Practice.
- Support customer initiatives of BI modernization, cloud deployments, AI/ML, Microservices, API integrations, Bigdata, Customer experience, and User Experience.
- Incubate new technology practices & steer to hyper scale growth through the partner ecosystem.
- Take ownership of business development, pre-sales and sales enablement with P&L responsibility of the practice.
- Interact with the CXO, Partner Ecosystem and work with their Sales Reps for leads and consult clients on the data Blueprint and roadmap exercise.
- Alliance partnerships with technology ISV / OEMs and grow partner ecosystem.
- Develop strong relationships with the cross-functional stakeholders throughout the company and are the point of contact for all data related queries.
- Be an active thought leader in the data engineering space by conducting webinars, seminars and releasing knowledge artefacts.
Candidate requirements:
- Thought leader on Cloud Data / Data Engineering space with a very good understanding of Data Ecosystem.
- Must have hands-on experience in Snowflake Ecosystem, Databricks, Matillion, DBT, Alteryx etc.
- Must have hands-on experience in Oracle, SQL Server as well as cloud platforms like AWS, GCP and Azure
- Knowledge of Financial services domain is an added bonus.
Selection process:
- Three technical rounds
- HR discussion
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