Amazon

Partner Solutions Architect - Data, Analytics, And Machine Learning

3+ months agoChicago, IL

DESCRIPTION

Would you like to be part of a team that is redefining the IT industry? Amazon Web Services (AWS) is leading the next paradigm shift in computing and is looking for a world class candidate for the role of Partner Solution Architect - Data, Analytics, and Machine Learning within our Global Systems Integrators (GSI) Channels & Alliances business function.

This is an ideal role for someone who has experience working for a global systems integrator, a large IT consulting firm, or a Fortune 1000 company. In this role, you will develop the technical capabilities of our Global System Integrators (GSIs) so they can be successful in the cloud. Working with these large partners is a team effort that will require influence and coordination with many stakeholders to collaborate on solutions in Big Data, Analytics, and Machine Learning (ML). These engagements will focus on Real Time and Batch-based big data processing, data and ML strategy, business intelligence, and visualizations. If you are a problem solver with data & analytics technical skills and growing knowledge of how machine learning compliments the data, you will enjoy this role.

In this technical role, you will architect enterprise-grade AWS solutions, own the technical relationship and deliverables for a GSI on large enterprise transformational customer opportunities, develop and execute multi-day workshops, lead white boarding sessions, author white papers and blog posts, and respond to complex technical inquiries including RFPs. You will partner with ProServe, Sales, Business Development, and the Data, Analytics & ML Service teams to enable the partner's Data, Analytics and ML services adoption. The ability to think strategically about business, product, and technical challenges in an enterprise environment, understand Agile methodologies, and have the ability to apply these practices to Data, Analytics & ML projects will be key in this role.

Key Responsibilities:
• Design customer solutions using AWS products and services such as Elastic Map Reduce (EMR), Redshift, Kinesis, Lambda, Data Pipeline, S3, DynamoDB, and the Relational Database Service (RDS)
• Understand machine learning on AWS including Apache MxNet and TensorFlow, Machine Learning Platforms such as Amazon SageMaker for data scientists, and API-driven Services like Amazon Lex, Amazon Polly, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition to quickly add intelligence components to applications
• Help manage and drive joint Strategic Deals between the partner and AWS
• Build a set of best practices around how data, analytics, & ML fit into our largest deals and replicate across geographies
• Thought Leadership Evangelize AWS Data, Analytics, & ML services to share best practices through forums such as AWS Big Data or ML blogs, whitepapers and reference architectures, as well as public-speaking events such as AWS Summits, AWS re:Invent, etc
• Act as a technical liaison between customers and the Data, Analytics, & ML services engineering teams to provide customer driven product improvement feedback
• Serve as a key member of the business development and account management team in helping to ensure customer success in building and migrating applications, software, and services on AWS
• Provide the architectural guidance and recommendations necessary to promote successful partner engagements
• Assist GSIs in building offerings and technical strategies that will enable them to build and sell their offering on the AWS platform
• Coach and train GSIs on an ongoing basis to adopt AWS innovations for Data, Analytics & ML workloads

Work/Life Balance

Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren't focused on how many hours you spend at work or online. Instead, we're happy to offer a flexible schedule so you can have a more productive and well-balanced lifeboth in and outside of work.

Mentorship & Career Growth

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

Inclusive and Diverse Culture

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have twelve employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Position may be located near any Amazon regional office within the United States. Relocation assistance offered from within the US. Up to 50% travel (Post COVID-19 Travel Restrictions).

BASIC QUALIFICATIONS

• 5+ years of experience in analytics platform implementation or operations experience with a deep understanding of database and analytics technologies including MPP, Relational, and NOSQL databases
• 3+ years of experience with software development languages like Java, Python, Scala
• Experience working with RESTful API and general service oriented architectures
• Implementation and tuning experience in the Apache Hadoop Ecosystem including Hadoop Streaming, Spark, Pig, and Hive
• Implementation and tuning experience of Data Warehousing platforms including knowledge of Data Warehouse Schema Design, Query Tuning and Optimization, and Data Migration and Integration
• Experience with analytics presentation layer including Dashboards, Reporting, and OLAP
• Cloud computing experience

PREFERRED QUALIFICATIONS

• Executive speaking and presentation skills to include formal presentations, white boarding, and large and small group presentations
• Professional experience architecting/operating solutions built on AWS
• Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe, and PyTorch
• Experience with AWS services related to AI/ML particularly Amazon EMR, AWS Lambda, Machine Learning, IoT, Amazon DynamoDB, Amazon S3, Amazon EC2 Container Service, Greengrass, etc
• Experience working with/for Global Systems Integrators (GSIs)
• AWS certifications; AWS Certified Solutions Architect - Associate Level, AWS Certified Big Data Specialty, AWS Certified Machine Learning - Specialty, etc
• Customer relationship management experience and collaboration skills

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment-qualified applicants with arrest and conviction records.

Job ID: Amazon-1469266