A leading Media organization is looking to add an experienced Enterprise Data Architect to their team. The candidate should be experienced in AWS Big Data and Cloud technologies and have the ability to work in a team. Responsibilities include designing and implementing enterprise data warehouses and migrating data to the Cloud.
* Experience with AWS Services (EC2, S3, Redshift, Kinesis, Lambda)
* Experience building enterprise data warehouses
* Solid grasp of Hadoop ecosystem
* Experience with streaming tools like Spark and Kafka
* Expert level understanding of SQL and NoSQL
* Strong experience with data modeling
* Understanding of Agile Development Methodology
* Experience with architecture
* Understanding of basic principles of data governance
* Excellent teaming and communication skills required
Nice to Haves:
* Experience implementing Redshift data warehouses
* Competitive salary
* Competitive health, insurance, and retirement programs
* Generous PTO system with rollover
* Generous 401k matching system
* Fully covered life and disability insurance
*This role is unable to provide sponsorship now or in the future*
Jefferson Frank is the Amazon Web Services (AWS) recruiter of choice. We work with organizations worldwide to find and deliver the best AWS professionals on the planet. Backed by private equity firm TPG Growth, we have a proven track record servicing the AWS permanent and contract recruitment market and, to date, have worked with over 30,000 organizations globally from our offices in North America, Europe, and Asia-Pacific.
At Jefferson Frank, our mission is simple: we want happy customers. Whether you're an AWS professional walking into your dream AWS job, or an organization hiring an incredible contractor for your cloud migration project, our goal is to deliver an unrivalled customer experience. Work with us and you'll get the personalized experience you deserve - one you'll simply not find at any other recruitment agency. At Jefferson Frank, we find great people great jobs in AWS.
AWS/ Cloud Architect/ Hadoop/ Redshift/ Spark/ Hive/ Big Data/ Engineering/ AWS Partner/ Amazon Web Services/ Data Warehouses
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