• Principal Data Architect, Data Lake

    Location US-NY-New York
    Posted Date 3 months ago(10/15/2018 8:24 AM)
    Job ID
    Amazon Web Services, Inc.
    Company/Location (search) : Country (Full Name)
    United States
  • Job Description

    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 and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as HPC, Batch Data/Real-time processing, MPP systems, Data Management Platform (Hadoop, Spark) and Business Intelligence.

    This role will specifically focus on large scale data warehousing and database migration capabilities to help our customers and partners to remove the constraints that prevent them from leveraging their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs.

    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 Amazon Redshift, Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, Amazon Managed Streamin for Kafka, Relational Database Service (RDS) and Amazon Kinesis.
    • Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings.
    • Delivery - Engagements include short on-site projects to help customers building Data Lakes, modern Data architecture on AWS.

    Basic Qualifications

    • BA/BS degree or equivalent experience
    • 15+ years of experience of IT platform implementation in a highly technical and analytical role.
    • 5+ years’ experience of Big Data platform implementation, including 3+ years of hands-on experience in implementation and performance tuning Hadoop/Spark implementations.
    • Ability to think strategically about business, product, and technical challenges in an enterprise environment. Track record of thought leadership and innovation around Data Analytics and ML
    • Highly technical and analytical, possessing 5 or more years of IT platform implementation experience.
    • Deep understanding of Apache Hadoop 1/2 and the Hadoop ecosystem. Experience with one or more relevant tools ( Sqoop, Flume, Kafka, Oozie, Presto, Hue, Zookeeper, HCatalog, Solr, Avro).
    • Familiarity with one or more SQL-on-Hadoop technology (Hive, Pig, Impala, Spark SQL, Presto).
    • Experience developing software code in one or more programming languages (Java, JavaScript, Python, etc).
    • Current hands-on implementation experience required
    • Ability to travel to client locations to deliver professional services when needed.

    Preferred Qualifications

    • Masters or PhD in Computer Science, Physics, Engineering or Math.
    • Hands on experience leading large-scale global data warehousing and analytics projects.
    • Strong verbal and written communications skills and ability to lead effectively across organizations.
    • Deep understanding of database and analytical technologies in the industry including MPP and NoSQL databases, Data Warehouse design, BI reporting and Dashboard development.
    • Demonstrated industry leadership in the fields of database, data warehousing or data sciences.
    • Implementation and tuning experience specifically using Amazon Elastic Map Reduce (EMR).
    • Track record of implementing AWS services in a variety of distributed computing, enterprise environments.
    • Computer Science or Math background preferred.
    • 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. Should be able to interact with Chief Marketing Officers, Chief Risk Officers, Chief Technology Officers, and Chief Information Officers, as well as the people within their organizations.

    Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

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