Job Title
Cloud Data Solutions Architect
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About the Role
This position is for a senior cloud data solutions architect who will collaborate with our customers and partners to derive business value from latest in analytics services. The ideal candidate will have expertise in designing and implementing enterprise scale big data platforms, data lakes, and/or data warehouses.
The successful applicant will work closely with our 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.
Key Responsibilities
1. 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.
2. Demonstrate expertise in designing and implementing enterprise scale big data platforms, data lakes, and/or data warehouses.
3. Develop and 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.
4. Engagements include projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services.
5. Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps.
Requirements
To be successful in this role you will need:
* Experience of designing and implementing enterprise scale big data platforms, data lakes, and/or data warehouses.
* 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 such as 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 such as Java, Python, PySpark, Node, etc.
* AWS and other data and AI aligned certifications.
Benefits
You will benefit from:
* A career path that enables you to progress with the rapid adoption of cloud computing.
* A chance to lead large-scale global data analytics projects aligned with business use cases.
* An opportunity to work on high-impact projects that use the latest data analytics technologies.
* A diverse team environment with opportunities for growth and development.
About Us
We are a global leader in cloud computing and we're looking for talented individuals to join our team. If you have a passion for data and analytics and want to work on exciting projects with a dynamic team, please apply today!