Senior Data Lab Solutions Architect
il y a 2 semaines
Highly technical and analytical, possessing seven or more years of Database and/or Analytics Systems development and deployment experience, IT systems and engineering experience, security and compliance experience, etc.
- Possess significant experience of software development and/or IT and implementation/consulting experience.
- Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations and virtual teams.
- Ability to think understand complex business requirements and render them as prototype systems with quick turnaround time.
- Implementation and tuning experience in the Big Data Ecosystem, (such as EMR, Hadoop, Spark, R, Presto, Hive), Database (such as Oracle, MySQL, PostgreSQL, MS SQL Server), NoSQL (such as DynamoDB, HBase, MongoDB, Cassandra, design principles) and Data Warehousing (such as Redshift, Teradata, Vertica, schema design, query tuning and optimization) and data migration and integration.
- Track record of implementing AWS services in a variety of business environments such as large enterprises and start-ups.
- Knowledge of foundation infrastructure requirements such as Networking, Storage, and Hardware Optimization.
- Technical degree required; Computer Science or Mathematics background preferred. [DB1]
Job summary Are you a data and analytics specialist? Do you have deep expertise in AWS services for managing data at speed and scale? Do you think big about how data can change the world, and love building software? Would you like a career that gives you opportunities to help customers and partners use cloud computing services to build new solutions, faster, and at lower cost? At AWS, we’re hiring highly technical cloud computing architects and engineers to collaborate with our customers on building solutions in database, data management, and analytics. AWS Data Labs are global and online based facility where customers come to build data and analytics platforms. You will focus on real time and batch-based data processing, business intelligence, analytics, and machine learning systems. These solutions are built alongside the customer and quickly put into production use in a matter of weeks. You'll work closely with AWS Field Teams including Solution Architects, Technical Account Managers, and AWS Service Developers to partner with customers to solve hard problems with data. Every day, you'll be working with AWS Services and Data Labs Customers to determine the optimal implementation, build it, prove it works, extract documents and CloudFormation templates to speed project delivery. If you are builder, and love data, then this could be your ideal job Up to 25% travel may be required About the team AWS Data Lab offers accelerated, joint engineering engagements between customers and AWS technical resources to create tangible deliverables that accelerate data, analytics, artificial intelligence/machine learning (AI/ML), serverless, and containers modernization initiatives. Data Lab has three offerings - the Build Lab, the Design Lab, and Resident Architect. The Build Lab is a two to five day intensive build with a technical customer team. The Design Lab is a one-half to two day engagement for customers who need a real-world architecture recommendation based on AWS expertise, but are not yet ready to build. Both engagements are hosted either online or at one of our in-person AWS Data Lab hubs. The Resident Architect provides AWS customers with technical and strategic guidance in refining, implementing, and accelerating their data strategy and solutions over a six-month engagement. During Build and Design Labs, AWS Data Lab Solutions Architects and AWS service experts support the customer by providing prescriptive architectural guidance, sharing best practices, and removing technical roadblocks. Customers leave the engagement with an architecture or working prototype that is custom fit to their needs, a path to production, deeper knowledge of AWS databases, analytics, AI/ML, serverless, and/or containers services, and new relationships with AWS service experts. Resident Architect helps customers (Chief Data Officers, VPs of Data Architecture, and Builders) make informed choices and tradeoffs about accelerating their data, analytics, and AI/ML workloads and implementations.
- AWS Certification, eg. AWS Solutions Architect, Developer, or AWS Certified Big Data - Specialty
- Hands on experience leading large-scale global database, data warehousing and analytics projects.
- Demonstrated industry leadership in the fields of Database and/or Data Warehousing, Data Sciences and Big Data processing.
- Experience with Statistics, Machine Learning and Predictive Modelling.
- Hands on experience as a database, data warehouse, big data/analytics developer or administrator, or work as a data scientist.
- Experience working within the software development or Internet industries is highly desired.
- Technical degrees in co
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