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Job Title: Principal Data Architect, Data Lake & Analytics
Company Name: Amazon AWS
Location: Newark, NJ United States
Position Type:
Post Date: 03/02/2021
Expire Date: 05/14/2021
Job Description
Principal Data Architect, Data Lake & Analytics

DESCRIPTION

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 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), were 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 customers business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment

BASIC QUALIFICATIONS

Bachelors degree, in Computer Science, Engineering, Mathematics or a related field or equivalent professional or military experience
12+ years of experience of IT platform implementation in a technical and analytical role
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 Apache Hadoop and the Hadoop ecosystem
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 customers 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

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.

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Contact Information
Company Name: Amazon AWS
Website:https://amazon.jobs/en/jobs/1421698/principal-data-architect-data-lake-analytics
Company Description:
The AWS Professional Services team is responsible for assisting enterprise customers as they shift to a cloud-based operating model and incorporate our services into their overall architecture. We work hand-in-hand with customer teams and AWS partners to provide deep expertise in the architecture, design, development, and implementation of cloud computing initiatives that result in real business outcomes.

As part of the AWS Professional Services team, you'll leverage your knowledge of AWS technologies in collaboration with our sales and partner teams to propose, architect, and implement transformational solutions for customers. You'll build repeatable solutions that accelerate the adoption of our products. You'll experience opportunities to learn and grow with a variety of customers, partners, and technology challenges, all while working alongside a motivated and diverse team. AWS is an industry leader in cloud computing with 32.4% of the market share across the global.
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