Description Amazon SDO Privacy engineering operates in Seattle- WA, Austin – TX, US and Iasi, Bucharest – Romania. Our mission is to develop services which will enable every Amazon service operating with personal data to satisfy the privacy rights of Amazon customers. We are working backwards from the customers and world-wide privacy regulations, think long term, and propose solutions which will assure Amazon Privacy compliance. Our external customers are world-wide customers of Amazon Retail Website, Amazon B2B services (e.g. Seller central, App / Skill Developers), and Amazon Subsidiaries. Our internal customers are services within Amazon who operate with personal data, Legal Representatives, and Customer Service Agents. You can opt-in for being part of one of the engineering teams who will contribute to Amazon mission to meet external customers’ privacy rights. As a Data Engineer, you take a long-term view of your team’s data solutions and how they fit into the team’s architecture. You anticipate data access patterns and remove bottlenecks from their systems. You ensure your team’s data is auditable, available, and accessible. You proactively fix data architecture deficiencies and/or propose larger projects, which may require the work of other teams. You understand the business impact of your systems and show good judgment when making technical trade-offs between your team’s short-term technology needs and long-term business needs. You are a key influencer in team strategy. You drive mindful discussions with customers and peers. Your code submissions and approach to work are exemplary – your data solutions are easily usable by customers, inventive, secure, easily maintainable, appropriately scalable, and extensible. You build data solutions that are easy for others to contribute to. You take ownership of team architecture, providing a system-wide view and design guidance. You make things simpler. You drive data engineering best practices (e.g. Data Discovery, Naming Conventions, Operational Excellence, and Data Security) and set standards. You work to resolve the root cause of endemic problems including areas where your efforts unblock innovation of related teams. This may require you to influence decisions made by other teams. When confronted with discordant views, you can find the best way forward and influence others to follow that path (build consensus). You ensure your team is stronger because of your presence but does not require your presence to be successful. Key job responsibilities - Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal BDT tools (DataNet, Cradle, Quick Sight etc.) - Create and implement Data Governance strategy for mitigating privacy risks. This includes defining p0 metrics and creating campaign strategies to drive down the privacy risks. - Provide technical and thought leadership for Data Engineering and Business Intelligence within the Amazon Privacy org. - Improve existing solutions and come up with next generation Data Architecture to improve scale, quality, timeliness, coverage, monitoring, and security. - Develop new data models and end to data pipelines. This includes developing pipelines to consume personal data tags/metadata from trusted sources within Amazon. - Collaborate with Engineering team to integrate AI/LLM models into data pipelines and workflows. - Stay up-to-date with the latest advancements in AI/LLM technology and its applications in data engineering to identify opportunities for automation and process improvement. Basic Qualifications - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines Preferred Qualifications - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.