Senior Data Lab Architect, AWS Data Lab

Key Skills

Design of Experiment, Database, SQL, DevOps, AWS, Google BigQuery, 5 Axis Machining, xxxxxx,

Job Description

Job summary
Are you a data and analytics specialist? Do you have deep expertise in AWS (or similar cloud platform) 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. We’re seeking applicants from all backgrounds to ensure we get the brightest, most creative minds on our team. AWS Data Labs are a Seattle, AWS headquarters-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 understand 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!

Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have 10+ employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Within AWS Data Lab we are committed to diversity and have a community group of AWS Data Lab Women and Non-Binary (WNB) to encourage diversity and inclusion, the mission of the Data Lab WNB group is to create networking opportunities and foster professional development through connecting, mentoring, and promoting leadership opportunities.


Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels, tenures, and backgrounds, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded architect and enable them to take on more complex tasks in the future.

BASIC QUALIFICATIONS

• 3+ years of design, implementation, or consulting experience in applications or infrastructures
• 8+ years within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics)

• 7+ years of experience in Database and/or Analytics design and implementation
• Architecture and/or Implementation experience in big data, data warehousing, database, data migration, data analytics, and/or integration scenarios (such as Amazon EMR, AWS Glue, Hadoop, Spark, Presto, Hive, MySQL, PostgreSQL, Amazon DynamoDB, Amazon Redshift, schema design, query tuning and optimization)
• Knowledge of foundation infrastructure requirements such as Networking, Storage, and Hardware Optimization
• Strong verbal and written communications skills, as well as the ability to work effectively across internal and external organizations and virtual teams
• Ability to understand complex business requirements and render them as prototype systems with quick turnaround time

PREFERRED QUALIFICATIONS

• BS level technical degree; Computer Science or Mathematics background
• Demonstrated industry leadership and hands-on experience in the fields of Database and/or Data Warehousing, Data Sciences and/or Big Data processing
• Deep understanding of data, application, server, and network security
• Working knowledge of modern software development practices and technologies such as agile methodologies and DevOps
• Hands-on experience with Amazon Web Services
• Experience with Statistics, Machine Learning and Predictive Modelling
• AWS Certification, eg. AWS Solutions Architect, AWS Certified Data Analytics, Database or ML Specialty