Data Engineering Manager

Were seeking an experienced Data Engineering Manager to build data & analytics platform for Risk and Compliance Solutions (RCS) products. RCS serves as a crucial safeguard for Amazons buyers brands and selling partners while ensuring business teams meet their regulatory obligations. Operating under the Three Lines of Defense (3LoD) model RCS functions as the second line of defense providing specialized oversight monitoring and expertise while setting policies and procedures that guide Amazons compliance framework. RCSs mission is to leverage specialist industry insights and Amazons unique way to scale through technology delighting customers through tailored compliance solutions.
RCSs work spans multiple critical areas including enabling Amazons financial services expansion through streamlined license acquisition managing existing business risks delivering comprehensive governance risk and assurance services across Amazon developing innovative solutions like Compliance as a Service (CaaS) and transforming compliance operations into a proactive intelligence-led framework.
This role is critical for RCSs mission to scale compliance operations through technology reduce manual processes and enable Amazons global expansion while maintaining regulatory compliance. The role sits in the sweet spot between technology and business worlds and provides opportunities for learning growth high business impact and working with seasoned global business leaders.
The ideal candidate will be an analytical results-oriented self-motivated and customer-focused engineering leader who will play a key role in continuous improvement for the critical systems that enable our entire RCS business.
An ideal candidate will be someone with sound technical background in data domain (storage processing and analytics) has solid business acumen and has strong automation solution-oriented thought process. Will be a self-starter who can start with a business problem and work backwards to conceive and formulate best possible solution. Is a great communicator and at ease on partnering with business owners and all other stakeholders. Can explore newer technology options as needed and has a high sense of ownership over every deliverable by the team. Is constantly obsessed with customer delight and business impacting end result(s) and gets it done in business time.

Key job responsibilities
Architect and implement a scalable cost-optimized S3-based Data Lake for RCS that unifies structured and unstructured data from disparate sources.
Architect and implement a scalable cost-performance-optimized OLAP-based analytics layer
Establish metadata management with automated data classification and lineage tracking.
Architect a centralized metrics repository that becomes the source of truth for all metrics reports and dashboards.
Implement robust data quality frameworks with staging-first policies and automated validation pipelines.
Design extensible metrics schemas that support complex analytical queries while optimizing for AI retrieval patterns.
Establish automated compliance validation frameworks ensuring data handling meets Amazons security standards.
Architect and implement scalable reliable data pipelines and infrastructure supporting analytics at scale
Design and enforce data modeling standards lineage and governance frameworks while ensuring secure compliant solutions
Lead technical design/code reviews evaluate emerging technologies and drive engineering best practices across development lifecycle
Mentor engineers foster technical excellence and empower team self-service capabilities for handling complex data tasks independently
Collaborate with a cross functional global team of product managers engineers and stakeholders.
Drive OP1 OP2 WTR Sprints MTR Roadmap prioritizations and QTR for the RCS data and analytics Team.

A day in the life
Data Engineering Manager in this role is responsible for architecting and delivering analytics solutions that will highly impact risk and compliance services team worldwide to provide excellent service and support to Amazon Businesses. This Data Engineering Manager will meet regularly with representatives from product and engineering teams to gather data and analytics requirements transform complex requirements into seamless analytics presentations collaborate with global stakeholders and represent the data and analytics team in all appropriate forums.

- 5 years of data engineering experience
- Experience managing a data or BI team
- 5 years of processing data with a massively parallel technology (such as Redshift Teradata Netezza Spark or Hadoop based big data solution) experience
- Experience communicating to senior management and customers verbally and in writing
- Experience leading and influencing the data or BI strategy of your team or organization
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- 2 years of relational database technology (such as Redshift Oracle MySQL or MS SQL) experience
- 2 years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience

- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience with AWS Tools and Technologies (Redshift S3 EC2)

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