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Senior Data Architect, Professional Services

Amazon.com
Website
Full-time
Remote in US, FL, Virtual Location - Florida
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Senior Data Architect, Professional Services

Job summary
Are you a Data Analytics specialist? Do you have Data Lake/Hadoop experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing?

At Amazon Web Services (AWS), we’re hiring highly technical data architects to collaborate with our customers and partners on key engagements. Our consultants will develop, deliver and implement data analytics projects that help our customers leverage their data to develop business insights. These professional services engagements will focus on customer solutions such as Data and Business intelligence, machine Learning and batch/real-time data processing.

Responsibilities include:
· Delivery - Help 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.
· Solutions - 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.
· Innovate- Engaging 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 promotes code reuse.
· Expertise - 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.
· Leadership - Lead data architecture and data engineering teams to deliver project implementations successfully.

Since this is a customer facing role, you might be required to travel to client locations and deliver professional services when needed, up to 50%.


About the team
Inclusive Team Culture

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 85,000 employees in over 190 chapters globally. We have innovative benefit offerings, and 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.

Work/Life Balance

Our team 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. We are a customer-obsessed organization—leaders start with the customer and work backwards. They work vigorously to earn and keep customer trust.

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.
Basic Qualifications

· 8+ years of experience of IT platform implementation in a technical and analytical role.
· 5+ years of experience of Data Lake/Hadoop platform implementation, including hands-on experience (implementation and performance tuning) in Hive/Spark implementations.
· 2+ years of experience leading data engineering teams.
· Experience with one or more SQL-on-Hadoop technology (Hive, Impala, Spark SQL, Presto) and developing software code in one or more programming languages (Java, Python, etc).
· Experience ingesting data from different sources and/or ETL development experience (Nifi, etc).
· Ability to communicate fluently in Spanish in technical and business settings (verbal and written). This position supports Latin American customers.
Preferred Qualifications· Ability to think strategically about business, product, and technical challenges in an enterprise environment.

· Experience with Apache Hadoop and Hadoop ecosystem relevant tools (Sqoop, Flume, Kafka, Oozie, Zookeeper) and interacting with Linux based systems.
· Understanding of database and analytical technologies in the industry including NoSQL databases, Data Warehouse , BI reporting and Dashboard development.
· Customer facing skills to represent AWS well within the customer’s environment and drive discussions with senior personnel regarding trade-offs, best practices, project management and risk mitigation.




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.