Data Engineering Manager, OTS - Data ANCHOR Team

Amazon.com Inc

Austin, TX

JOB DETAILS
SKILLS
Artificial Intelligence (AI), Best Practices, Big Data, Business Intelligence, Career Counseling, Code Reviews, Data Management, Data Modeling, Data Processing, Database Extract Transform and Load (ETL), Documentation, Ecosystems, Engineering Management, Establish Priorities, International Business, International Operations, Leadership, Mentoring, Operational Support, Order/Customer Fulfillment, Predictive Modeling, Problem Solving Skills, Quality Metrics, Reporting Dashboards, Strategic Analysis, Team Lead/Manager, Technical Delivery, Technical Operations, Technical Support, Testing
LOCATION
Austin, TX
POSTED
15 days ago

Join the OTS Data ANCHOR team to build strategic analytics powering Amazon"s Operations Technology ecosystem. Our team provides critical data infrastructure support for OpsTech IT, supporting Amazon"s global customer commitment. You"ll work at the intersection of large-scale data processing and real-world operational impact, creating intelligence that directly influences how Amazon fulfills millions of orders.

As a Data Engineering Manager, you"ll lead one of our core teams responsible for transforming operational data into actionable insights and building mission-critical data products that power worldwide operations business decisions across fulfillment centers, Amazon Fresh, Prime Now, Lockers, Pantry, and Amazon Campus. In this role, you"ll drive technical excellence while building and mentoring a high-performing team of business intelligence engineers and data engineers, architecting scalable solutions that process enormous amounts of data daily. We expect you to bring strong technical acumen combined with strategic thinking to solve complex problems at scale, while maintaining high operational standards and driving innovation in both traditional analytics and AI/ML domains to enable our teams to support IT operations globally.

Key job responsibilities

  • Delivery of robust, scalable data solutions supporting OTS data infrastructure.
  • Leadership in data governance and quality standards.
  • Implementation of GenAI solutions for automated reporting, diagnostic, predictive & prescriptive analytics.
  • Own technical delivery and team leadership for development and maintenance of scalable ETL/big data pipelines, semantic layers, and dashboard data models.
  • Collaborate with Program Managers, BI teams, and stakeholders to prioritize work aligned with OTS business goals.
  • Establish best practices for data engineering, including code reviews, testing, monitoring, and documentation.
  • Drive team growth through mentoring, coaching, and career development.

A day in the life

Amazon Benefits:

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

  1. Medical, Dental, and Vision Coverage

  2. Maternity and Parental Leave Options

  3. Paid Time Off (PTO)

  4. 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we"d still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skill sets. If you're passionate about this role and want to make an impact on a global scale, please apply!

About the Company

A

Amazon.com Inc

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles