Data Architect, Data Lake & Analytics i Stockholm

Job summary
Possible locations: Stockholm
AWS Professional Services is a unique organization. Our customers are most-advanced companies in the world. We build for them world-class, -native IT solutions to solve real business problems and we help them get business outcomes with AWS . Our projects are often unique, one-of-a-kind endeavors that no one ever has done before.

As a Data Lake and Analytics Consultant, you will architect, (re)design and build -native, business-critical Big Data solutions with our Customers. You will take advantage of the global scale, elasticity, automation and high-availability features of the AWS platform. Your will build customer solutions with Amazon Elastic Compute (EC2), Amazon Data Pipeline, Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, Amazon Redshift, AWS Lake Formation and other AWS services. You will work across a range of areas including web and mobile applications, enterprise applications, HPC, IoT, Big Data and Artificial Intelligence / Machine Learning and engage with technical, IT and leadership teams of our customers.

You will collaborate across the whole AWS organization, with other consultants, customer teams and partners on proof-of-concepts, workshops and complex implementation projects. You will innovate and experiment to help Customers achieve their business outcomes and deliver production-ready solutions at global scale. You will lead projects independently but also work as a member of a larger team. Your role will be key to earning customer trust.

As an Amazonian you will demonstrate the Amazon Leadership Principles, coaching and mentoring others on best practices, performance and career development.

This is a customer-facing role. When appropriate and safe, you will be required to visit our office and to travel to client locations to deliver professional services when needed.

You will:
· invent and build Big Data and Analytics solutions that solve complex problems, scale globally, guarantee performance, and enable breakthrough innovations,
· work with systems engineers, consultants and data scientists to design and build Data Analytics platforms and Data Lakes to support compute heavy data science, analytics, and web-facing production tooling,
· build ETL to consolidate and relate petabytes of data owned by disparate teams,
· work with customers and partners, guiding them through planning, prioritization and delivery of complex transformation initiatives, while collaborating with relevant AWS Sales and Service Teams,
· (Re)design solutions to use technologies and modern software development practices,
· help customers define their business outcomes and guide their technical architecture and investments,
· create and apply frameworks, methods, best practices and artifacts that will guide our Customers; publish and present them in large forums and across various media platforms,
· coach and mentor fellow developers how to develop high-quality code, innovate using the latest technologies, AWS services and development best practices,
· contribute to enhancing and improving AWS services.

• 5+ years’ experience with architecting and implementation of large-scale Data Analytics platforms, including building ETL processes, data pipelines, - 5+ years’ experience with architecting and implementation of large-scale Data Analytics platforms, including building ETL processes, data pipelines, data governance, master data management and integrations.
• Experience with Apache Hadoop and the Hadoop ecosystem (or equivalent alternative), including massively-parallel-processing (MPP) models, real-time processing and analytics, data ingestion (batched and streamed) and data storage solutions. Familiarity with technologies such as Hive, Impala, Spark SQL, Presto
• Experience developing software in one or more programming languages, such as: Java, JavaScript, Python, R, C++, etc.
• Experience with OLAP databases such as Amazon Redshift, Teradata, Netezza, Vertica.
• Bachelor’s degree, or equivalent experience, in Computer Science, Engineering, Mathematics or a related field.
• Ability to think strategically about business, product, and technical challenges in an enterprise environment.
• Strong communication and data presentation skills, familiarity with using data visualization tools.
• Excellent writing and speaking English skills.

• AWS Certification in Solutions Architecture or Specialty (Database, Data Analytics, Machine Learning).
• Big Data Architect experience with AWS or other modern data analytics stacks
• Experience with AWS services such as EC2, ELB, RDS, Route53 & S3, Redshift, Kinesis, Glue or similar services of other public providers in a variety of distributed computing enterprise environments.
• Understanding of database and analytical technologies in the industry including MPP and NoSQL databases, Data Warehouse design, ETL, BI reporting and Dashboard development.
• Knowledge of BI / data visualization tools (such as Tableau, Spotfire, Microstrategy, Cognos)
• Experience with tools such as Flume, Kafka, Oozie, Hue
• Track record of presenting at public events such as technology conferences, hackathons or blogging, writing technical articles or contributing to open source projects.

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