Job Title: Data Analytics Cloud Architect
As a highly technical cloud architect, you will collaborate with our customers and partners to derive business value from the latest in analytics services.
Develop and deliver proof-of-concept projects, technical workshops, and support complex projects. These professional services engagements will focus on customer solutions such as batch and real-time data capture and analysis, driving data-driven decisions and desired customer outcomes.
1. Key Responsibilities:
o Collaborate with pre-sales and delivery teams to help partners and customers learn and use services such as AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon DataZone, Amazon SageMaker and Amazon Quicksight.
o Deliver technical engagements with partners and customers, including participating in pre-sales visits, understanding customer requirements, creating consulting proposals and creating packaged data analytics service offerings.
o Engagements include projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements may include migration and modernisation of existing data applications and development of new data applications using AWS cloud services.
o Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real-world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from the use of AWS cloud services.
o Push the envelope – Artificial Intelligence is reducing the historical 'IT constraint' on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data, AI and Analytics Services.
A Day in the Life:
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
Benefits:
* Flexible work-life balance.
* Opportunities for career growth and professional development.
* A dynamic and inclusive team culture.
* Access to cutting-edge technology and tools.
Required Skills and Qualifications:
* Experience of designing and implementing Enterprise Scale Big Data Platforms, Data Lakes and/or Data Warehouse.
* Experience in leading discovery and design workshops, including estimating, scoping and delivering customer proposals aligned with Analytics Solutions.
* Experience with one or more relevant tools (Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, Avro, Parquet, Iceberg, Hudi).
* Experience developing software and data engineering code in one or more programming languages (Java, Python, PySpark, Node, etc).
* AWS and other Data and AI aligned Certifications.
Preferred Qualifications:
* Ability to think strategically about business, product, and technical challenges in an enterprise environment.
* Hands-on experience leading large-scale global data analytics projects aligned with business use cases.
* Experience in Data Quality management: Processes to measure and manage data quality, enforce data controls, and provide data assurance.
* 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.