Sr. Data Lake Architect, AWS Professional Services

US, VA, Virtual Location - Virginia

Full Time Senior-level / Expert
Amazon.com logo

Amazon.com

Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...

View all employer listings

Apply now Apply later

Job summary
Are you a Data Analytics specialist? Do you have Data Warehousing, Hadoop/Data Lake 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 with customers 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 cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop, deliver and implement AI, IOT, and 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 Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence.

This is a customer facing role. You will be required to travel to client locations and deliver professional services when needed.

Responsibilities include:

* 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 NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift.

* Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating packaged Data & Analytics service offerings.

* Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services.

* Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementations and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services.

* Innovate - Engaging with the customer’s business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment

This position requires that the candidate selected be a U.S. Citizen.

**If you have questions, wish to apply or refer someone contact Mason Keebler at Masonpke@amazon.com

Basic Qualifications


* Bachelor’s degree, in Computer Science, Engineering, Mathematics or a related field or equivalent professional or military experience
* 8+ years of relevant experience
* 5+ years of experience of Data Lake/Hadoop platform implementation
* 3+ years of hands-on experience in implementation and performance tuning Hadoop/Spark implementations.
* Experience with one or more relevant tools (Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, Avro)
* Experience with one or more SQL-on-Hadoop technology (Hive, Impala, Spark SQL, Presto)
* Experience developing software code in one or more programming languages (Java, Python, etc)

Preferred Qualifications

* Ability to think strategically about business, product, and technical challenges in an enterprise environment
* Masters or PhD in Computer Science, Physics, Engineering or Math
* Hands on experience leading large-scale global data warehousing and analytics projects
* Ability to collaborate effectively across organizations
* Understanding of database and analytical technologies in the industry including MPP and NoSQL databases, Data Warehouse design, BI reporting and Dashboard development
* Demonstrated industry efficiency in the fields of database, data warehousing or data sciences
* Implementing AWS services in a variety of distributed computing, enterprise environments
* 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
* Desire and ability to interact with different levels of the organization from development to C-Level executives

#US_WWPS_ProServ #US_WWPS_ProServ_DML


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.

Job perks/benefits: Career development
Job region: North America
Job country: United States
Job stats:  2  0  0
  • Share this job via
  • or

Other jobs like this

Explore more Remote Work and WFH career opportunities

Find open roles in Engineering, Design, Data, Marketing, Sales, Operations, Support and more, filtered by job title or popular skill, toolset and products used.