Analytics Solutions Architect, Life Sciences Full-time Job

Analytics Solutions Architect, Life Sciences

#analystjobs #recruitment #jobs #hiring #jobsearch #nowhiring #job #hiringnow #itjobs #engineeringjobs #jobseekers #businessanalyst #jobhunt #jobseeker #referrals #freshersjobs #ono #indianjobs #humanresourcesjobs #freelance #datascientistjobs #dataanalyticsjobs #datascience #helpinghands #managementjobs #careers #lookingforjob #recruiting #recruiters #jobsearching 7+ years of experience in the design and implementation of complex IT systemsCurrent implementation and architecture experience in big data, data warehousing, data lake, operational analytics, data migration, and integration scenarios. (Amazon EMR, Hadoop, Spark, R, Presto, Hive, Amazon Redshift, Teradata, Vertica, Glue, Data Migration Services)Experience working with customers and stakeholders and driving outcomes in a pre-sales capaWorking knowledge of modern software Developerpment practices and technologies such as agile methodologies and DevOps

Do you like to solve the most complex and large-scale data challenges in the world today Do you want to have an impact in the Developerpment and use of ways to explore data Come join us.

Amazon Web Services (AWS) offers a comprehensive set of services to handle every step of the analytics process chain including data warehousing, business intelligence, batch processing, stream processing, log analytics, and data workflow orchestration.

We are looking fan Analytics Specialized Solutions Architect, who will be the Subject Matter Expert (SME) fhelping customers solve data challenges and create solutions/capabilities ftheir customers. You will partner with Sales Account Managers, Business Developerpment Representatives and the AWS Service teams to enable customer adoption and revenue attainment.

You will Developerp white papers, blogs, sample dashboards, labs, and presentations to evangelize BI design patterns and best practices. You will also mentand train the broader SA population within AWS, teaching them how to integrate Amazon Analytic Solutions appropriately into customer architectures.

The ideal candidate will Be great fun to work with. Our compacredo is Work hard. Have fun. Make history. As the right candidate, you will love what you do, and instinctively know how to make work fun. You will be dynamic and creative, and willing to take on achallenge.

Enjoy working with customers. You have a passion feducating, training, designing, and building cloud computing systems fsome of the worlds fastest growing.

Be Customer Obsessed. At AWS, customer obsession is in our DNA. You will represent the voice of the customer in field engagements with AWS specialist sales, business Developerpment, and service teams.

Be an Architect. As part of a Solutions Architecture team, you produce and validate reference architectures and customer adoption fAWS Analytics services including, Amazon Redshift, Amazon EMR, Amazon Data Lakes and Amazon QuickSight.

Specific responsibilities include: Designing Data and Analytics solutions. Work with teams at existing and potential customers to deeply understand their business and technical needs. Developerp solutions that make the best use of the AWS Cloud platform and Analytics Services. Collaborate with AWS field sales, training, and support teams to ensure customer success.Partnering with account teams, Business Developerpment Managers and Analytics Service teams to accelerate customer adoption and revenue attainment.Be the voice of the customer to service engineering teams, providing product improvement feedback to AWS Developers and accelerating the adoption of features in customer deployments.Sharing what you know by capturing best-practice knowledge from engineering and field teams, including reference architectures and patterns, with the worldwide AWS solution architect community in order to build a strong worldwide database and analytics communityExhibiting thought leadership. Evangelize AWS Services and Analytics Solutions in the Data and Analytics domain. Share best practices through forums such as AWS blogs, whitepapers, reference architectures and public speaking events such as AWS Summit and AWS re:Invent.

An advanced degree in computer science, MIS, engineering related disciplineAvailable ftravel up to 25 Hands-on experience with Amazon Web ServicesDemonstrated industry leadership in the fields of Big Data processing, Database, Data Warehousing and Data SciencesDeep understanding of data, application, server, and network securityExperience with Statistics, Machine Learning and Predictive Modelling This position must be located at one of our U.S. AWS Corp. offices with a preference fNYC, NY.