DESCRIPTION
Job summary
At Amazon Web Services (AWS), Security is our highest priority. The AWS Security team is responsible for the security of services offered by AWS. The Secure all the Things (SAT2) team is responsible for driving innovative enhancements that raise the bar for how AWS employees interact with resources, systems, and data. At AWS' scale, we must invent new security tools to enable system administrators and developers to build rapidly, while maintaining least privileged access.
The successful candidate is one who leads a group of data and BI engineers and loves working with engineering and business teams across an entire organization to understand their needs, and work with data professionals to design and build solutions that enable our teams to more quickly and effectively access our data. You are passionate about the data and you want to solve real business problems.
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As a Manager of Data Engineering, you will provide technical leadership, lead a data engineering team and drive initiatives to build end-to-end analytical solutions and data products that are highly scalable, stable, secure, and cost-effective. You strive for simplicity, demonstrate creativity and sound judgement. You will lead a team to deliver data solutions that are customer focused, easy to consume and create business impact. You should have extensive experience in the design, creation, management, and business use of extremely large datasets. You have a strategic and long term view on architecting advanced data eco systems. You are experienced in building efficient and scalable data services and have the ability to integrate data systems with AWS tools and services to support a variety of customer use cases/applications.
This is an excellent opportunity for a motivated and energetic leader to have a large impact in how AWS security data engineering and analytics builds insightful data products & application based on variety of customer use cases.
Key job responsibilities
• Lead a team of Data & BI Engineers along with Data Scientists to deliver data solutions and products to various AWS security functions.
• Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.
• Contribute to the architecture and implementation of next generation data and BI solutions from the ground up
• Manage AWS resources including Redshift, S3, EC2, Athena, Glue, etc.
• Optimize automated processes for performance and fault tolerance.
• Optimize support for ad-hoc analysis across various data sources.
• Collaborate with other BI Engineers, Software Engineers, and cross-functionally to deliver high quality data architecture and pipelines.
• Make large and/or complex data more accessible, understandable and usable by applications and teams.
About the team
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we 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.
Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren't focused on how many hours you spend at work or online. Instead, we're happy to offer a flexible schedule so you can have a more productive and well-balanced lifeboth in and outside of work.
BASIC QUALIFICATIONS
• Bachelor's degree in Engineering, Statistics, Computer Science, Mathematics, or a related quantitative field;
• 7+ years working with SQL, Data Modeling, Data Infrastructure and ETL Optimization;
• 7+ years working with reporting and analytics technologies such as Tableau, Power BI, QuickSight and Python;
• 5+ years working with data technologies such as Redshift, Glue, EMR, Athena and S3;
• 5+ years of engineering management experiences delivering data solutions/products at scale
• 5+ years of experience in designing and implementing custom reporting systems by managing or guiding technical teams
PREFERRED QUALIFICATIONS
• Master's degree or higher in Statistics, Data Science, or an equivalent quantitative field;
• 3+ years of experience with statistical analysis tools like Python, R, SAS for regression modeling and forecasting, time series analysis, data mining, financial analysis, and demand modeling
• 2+ years of managing managers
• Exceptional written and verbal communication skills;
• Superior attention to detail and ability to successfully manage multiple competing priorities simultaneously;
• Demonstrated ability to effectively collaborate across organizational functions and influence business leaders.
• Experience with designing, developing and maintaining a data platform and data warehouse that supports analysis and data science
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.