Cloud Analytics Solutions Architect
3 weeks ago
We are seeking a highly skilled Analytics Specialist Solutions Architect to join our team at AWS India - Karnataka - D11.
As a key member of our specialist team, you will be responsible for defining and executing go-to-market strategies for new and emerging services and solutions worldwide.
Key Responsibilities- Develop and maintain in-depth knowledge of AWS analytics stack and stay up-to-date with the latest technologies and trends.
- Work closely with customers to understand their complex challenges and craft scalable, flexible, and resilient technical architectures that address those challenges.
- Partner with cross-functional teams, including services teams, field solutions architecture, sales, marketing, business development, and professional services, to drive customer success.
- Contribute to the development of thought leadership content, including whitepapers, blogs, and workshops, to help customers and partners understand best practices for operating on AWS.
- 8+ years of solutions architecture or equivalent experience.
- 8+ years experience within data and analytics with hands-on experience with distributed data processing technologies such as Spark, Hive, and/or Presto as well as stream processing technologies such as Kafka, Spark streaming or Flink.
- Good understanding of MPP database architectures.
- Strong customer facing skills along with good communication skills.
The specialist team builds and executes go-to-market strategies which turn AWS ideas into multi-billion dollar businesses. Our team is comprised of specialists, sales specialists, and solutions architects who help define and execute go-to-market strategies for new and emerging services and solutions worldwide.
LocationWe are open to hiring candidates to work out of one of the following locations:
- Bengaluru, KA, IND
- Gurugram, HR, IND
- Mumbai, MH, IND
BASIC QUALIFICATIONS
- 1) 8+ years of solutions architecture or equivalent experience.
- 2) 8+ years experience within data and analytics with hands-on experience with distributed data processing technologies such as Spark, Hive, and/or Presto as well as stream processing technologies such as Kafka, Spark streaming or Flink.
- 3) Good understanding of MPP database architectures
- 4) Strong customer facing skills along with good communication skills
- 1) College/University degree or equivalent experience
- 2) AWS expertise primarily familiarity with the AWS analytics stack would be nice to have but not a necessity.
- 3) Understanding of application, server and network security, particularly as they relate to data security in the Analytics space.
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