(USA) Staff, Software Engineer

Walmart • Bentonville, AR

2d

About The Position

We are seeking a Data Architect to define the technical vision for our CTV Measurement and Data Platform. As advertising budgets shift to Streaming and OTT, the industry faces a critical data challenge: "How do we accurately measure performance across fragmented TV ecosystems without cookies?" You will architect the systems that ingest billions of TV viewing events (beacons), resolve them to Household Identity Graphs, and power the attribution models that tell advertisers exactly how their TV spend is driving web and foot traffic. You will move us beyond simple impression counting to deep, privacy-safe audience insights. About the team: Walmart's Advertising Technology group enables the connection between supplier brands and retail shoppers at unprecedented scale. We are a highly motivated group of engineers and data scientists, working in an agile group to solve sophisticated and high impact problems. We serve billions of ads requests every month with our high-performance ad servers. There are millions of customers shop on Walmart websites and in stores daily, and advertising helps advertisers bring the best products to our customers. If you want to influence millions of customers on their shopping journeys, we have a role for you. The AdTech M&R data team is responsible for delivering reporting and measurement for Advertisers to analyze and optimize campaigns. We are a team of data developers and machine learning developers whose strengths are: (1) building scalable data pipelines (2) using machine learning techniques and data science (3) making sense of broadly defined problems through data analysis. We are seeking a Data Architect to define the technical vision for our CTV Measurement and Data Platform. As advertising budgets shift to Streaming and OTT, the industry faces a critical data challenge: "How do we accurately measure performance across fragmented TV ecosystems without cookies?" You will architect the systems that ingest billions of TV viewing events (beacons), resolve them to Household Identity Graphs, and power the attribution models that tell advertisers exactly how their TV spend is driving web and foot traffic. You will move us beyond simple impression counting to deep, privacy-safe audience insights. What You’ll do: Data Architect leads the design and implementation of scalable analytics platforms that support enterprise measurement, attribution, and data-driven decision making. This role combines advanced analytics, data modeling, and engineering to translate complex business problems into actionable insights and production-ready analytical solutions. The position partners closely with business stakeholders, data scientists, and engineering teams to deliver end-to-end analytics initiatives that drive strategic and operational outcomes. SSAI Data Pipelines: Architect high-throughput ingestion pipelines for Server-Side Ad Insertion (SSAI) logs. You must handle the "Thundering Herd" of tracking beacons that fire simultaneously during live sports ad breaks. Measurement & Attribution: Design the data models for attribution. You will solve complex problems like cross-device mapping (e.g., a user sees an ad on TV and buys on a phone). Privacy-Safe Collaboration: Lead the implementation of Data Clean Rooms (Snowflake / AWS Clean Rooms) to allow us to match our TV audiences with advertiser 1st-party data without ever exposing PII or IP addresses. Standardization: Architect scalable batch and streaming analytics pipelines to ingest, transform, and analyze high-volume structured and semi-structured data. Define standardized schemas and transformations to normalize heterogeneous data sources into unified analytical datasets (“golden records”). Cost-Efficient Storage: Optimize the data lakehouse (Iceberg/Hudi) to retain petabytes of raw log data for compliance while enabling sub-second query performance for recent campaign analytics.

Requirements

• 10+ years in Data Engineering/Architecture, with at least 4 years focused on AdTech.
• Expert-level knowledge of distributed computing (Spark, Flink, Trino) and modern table formats (Apache Iceberg, Delta Lake).
• Deep architectural experience with Snowflake or BigQuery, specifically optimizing for high-concurrency reporting dashboards.
• Experience architecting event-driven pipelines (Kafka/Kinesis) capable of handling massive spikes during live broadcast events.
• Proven ability to design dimensional models that can attribute a single "Conversion" event to multiple "Impression" events across different devices.
• Strong expertise in advanced analytics, business intelligence, and data modeling.
• Experience designing scalable analytics architectures and pipelines for large datasets.
• Familiarity with distributed processing frameworks (Spark, Flink, Trino) and modern table formats (Iceberg, Delta Lake).
• Experience with cloud-based analytics warehouses (Snowflake, BigQuery).
• Proven ability to translate complex business problems into analytical solutions.
• Experience leading projects and mentoring technical team members.
• Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years’ experience in software engineering or related area.
• 6 years’ experience in software engineering or related area.

Nice To Haves

• Knowledge of privacy-preserving analytics techniques and secure data collaboration workflows.
• Experience in event-driven analytics pipelines (Kafka, Kinesis).
• Experience operationalizing analytical models into production systems.
• Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area
• We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
• The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Responsibilities

• Data Architect leads the design and implementation of scalable analytics platforms that support enterprise measurement, attribution, and data-driven decision making.
• SSAI Data Pipelines: Architect high-throughput ingestion pipelines for Server-Side Ad Insertion (SSAI) logs.
• Measurement & Attribution: Design the data models for attribution.
• Privacy-Safe Collaboration: Lead the implementation of Data Clean Rooms (Snowflake / AWS Clean Rooms) to allow us to match our TV audiences with advertiser 1st-party data without ever exposing PII or IP addresses.
• Standardization: Architect scalable batch and streaming analytics pipelines to ingest, transform, and analyze high-volume structured and semi-structured data.
• Cost-Efficient Storage: Optimize the data lakehouse (Iceberg/Hudi) to retain petabytes of raw log data for compliance while enabling sub-second query performance for recent campaign analytics.

Benefits

• At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet.
• Health benefits include medical, vision and dental coverage.
• Financial benefits include 401(k), stock purchase and company-paid life insurance.
• Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
• Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
• You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level