Sr. Data Architect

The Role: Sr. Data Architect

What You’ll do

• Help customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB, NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift.
  

• Deliver on-site technical engagements with customers. This includes understanding customer requirements, and creating packaged Data & Analytics service offerings.
  

• 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.
  

• 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.
  

• Engage with the customer’s business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment.
  

Requirements

Basic Qualifications

• Bachelor’s degree, or equivalent experience, in Computer Science, Engineering, Mathematics or a related field.
  

• 8+ years of experience of IT platform implementation in a technical and analytical role.
  

• 5+ years’ 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

• Masters or PhD in Computer Science, Physics, Engineering or Math.
  

• Hands on experience leading large-scale global data warehousing and analytics projects.
  

• Ability to think strategically about business, product, and technical challenges in an enterprise environment.
  

• 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 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.
  

Benefits

What We Offer

• An opportunity to be part of an agile, highly proficient and experienced AI/ML team
  

• An opportunity to work on challenging data science and machine learning problems with customers and seeing your work deployed in action
  

• A fast-paced software development environment that uses the latest open-source tools across the development stack
  

Benefits

We provide a competitive salary and benefits package, a vibrant work environment, and numerous opportunities for professional growth. You'll have the opportunity to work with a team of industry experts on exciting projects that transform businesses and create significant value. Join us to revolutionize the way companies leverage technology for digital transformation.

OnebyZero is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.