Job Title
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Senior Data Analytics Consultant
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As a Senior Data Analytics Consultant, you will play a key role in helping our customers drive business value from data analytics and GenAI services.
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Key Responsibilities
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* Collaborate with pre-sales and delivery teams to help partners and customers learn and use AWS 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, Amazon Quicksight, and Amazon Bedrock.
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* Support pre-sales 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.
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* Engagements may include projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services, migration and modernization of existing data applications, and development of new data applications using AWS cloud services.
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* 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 use of AWS cloud services.
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* Push the envelope by applying AI to reduce historical IT constraints and work with clients and partners to find innovative new ways to satisfy business needs through Data Analytics and GenAI Services.
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* Join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
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* Develop and deliver proof-of-concept projects, technical workshops, and support complex projects.
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* Focus on customer solutions such as batch, real-time data capture and analysis, driving data-driven decisions, and desired customer outcomes.
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Requirements
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* 10+ years of technical specialist, design, and architecture experience.
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* 10+ years of database experience, including SQL, NoSQL, Hadoop, Spark, Kafka, and Kinesis.
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* 10+ years of consulting, design, and implementation of serverless distributed solutions experience.
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* Australian citizen with ability to obtain security clearance.
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* AWS Professional level certification is preferred.
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Benefits
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* A comprehensive benefits package, including medical, dental, and vision insurance.
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* Generous paid time off and holidays.
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* Professional development opportunities, including training and mentorship programs.
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* A diverse and inclusive workplace culture.
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About Us
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At AWS, we are committed to delivering the best results for our customers. We strive to create a workplace culture that empowers employees to be proud of their differences and fosters a sense of belonging among all employees.
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We believe that diversity and inclusion are critical to our success and provide numerous resources and initiatives to support employees in their personal and professional growth.
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