Cloud Data Solutions Specialist

4 days ago

Chennai, Tamil Nadu, India beBeeDataLeader Full time ₹ 25,00,000 - ₹ 35,00,000
Cloud Data Leader

Overview:

We are seeking a highly motivated and experienced leader to spearhead the growth and success of cloud data platforms. You will be responsible for establishing cloud data platforms as the preferred choice for clients and driving adoption and revenue growth through innovative solutions and client partnerships.

Main Responsibilities:

- Establish a cloud data practice, aligning it with market trends.

- Identify and capitalize on new business opportunities within the data platform ecosystem.

- Partner with sales and client-facing teams to understand client challenges and identify opportunities for cloud data solutions.

- Develop and maintain relevant pre-built solutions and accelerators to differentiate ourselves in the market and contribute to the marketplace.

- Support implementation of cloud data solutions for clients - ensuring timely and successful project delivery.

- Stay updated on the latest features and functionalities, exploring innovative uses and integrations.

- Build strong relationships with cloud platform & related industry partners to expand offerings and gain competitive advantage.

- Contribute to the broader cloud platform community through presentations, blogs, and knowledge sharing.

- Foster a culture of continuous learning, knowledge sharing, and professional development.

- Participate in industry events, conferences, and user groups to promote cloud data expertise and thought leadership.

Requirements:

- A minimum of a bachelor's degree in computer science, information technology, data science, or a related field.

- Minimum 15+ years of experience in cloud technology, with at least 5-8 years of experience working on cloud data platforms, integration, and data warehousing & analytics solutions.

- Proven track record of successfully leading and delivering cloud-based data projects for clients.

- In-depth expertise in cloud data platforms architecture, features, and functionalities.

- Strong understanding of data warehousing, data engineering, and data lake concepts.

- Excellent communication, presentation, and interpersonal skills, with the ability to build strong relationships with clients and stakeholders.

- Proven leadership & team management skills, with the ability to motivate and inspire a team.

- Strong analytical and problem-solving skills

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