Sr. Delivery Consultant

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.The Professional Services (ProServe) team is seeking a skilled Senior Data Architect to join our team at Amazon Web Services (AWS).In this role, you'll work closely with customers to lead design, implement, and manage AWS solutions that meet their technical requirements and business objectives.You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.Possessing a deep understanding of AWS products and services, as a Senior Data Architect you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer.You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS.As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.These professional services engagements will focus on customer solutions such as Data and Business intelligence, machine Learning and batch/real-time data processing.This is a customer facing role and you may be required to travel to client locations and deliver professional services when needed, up to 50%.Key job responsibilitiesHelp the customer to define and implement data architectures (Data Lake, Lake House, Data Mesh, etc).Engagements include short on-site projects proving the use of AWS Data services to support new distributed computing solutions that often span private cloud and public cloud services.Deliver on-site technical assessments with partners and customers.This includes participating in pre-sales visits, understanding customer requirements, creating packaged Data & Analytics service offerings.Engage with the customer's business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment.Create new artifacts that promote code reuse.Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB, Amazon EMR and Amazon Redshift.About the teamDiverse Experiences Amazon values diverse experiences.Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply.If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform.We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony.Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture.When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.Inclusive Team CultureHere at AWS, it's in our nature to learn and be curious.Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe're continuously raising our performance bar as we strive to become Earth's Best Employer.That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Basic Qualifications5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experienceBachelor's degree, or Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field10+ years of technical specialist, design and architecture experience; 7+ years of consulting, design and implementation of serverless distributed solutions experience7+ years of software development with object oriented language experience; 5+ years of cloud based solution (AWS or equivalent), system, network and operating system experience7+ years of external or internal customer facing, complex and large scale project management experiencePreferred Qualifications5+ years of external or internal customer facing, complex and large scale project management experienceProficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)Experience with automation and scripting (e.g., Terraform, Python)Expertise in performance optimization and cost management for cloud environmentsAbility to manage multiple projects and priorities in a fast-paced environment; AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional)Our inclusive culture empowers Amazonians to deliver the best results for our customers.If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information.If the country/region you're applying in isn't listed, please contact your Recruiting Partner.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.#J-*****-Ljbffr