2 days ago
Base Salary
$143k - $286k/yr
Responsibilities
- Lead architecture for real-time and large-scale advertising and customer data platforms processing billions of signals.
- Define streaming, near-real-time, micro-batch, and batch workload patterns while modernizing legacy pipelines.
- Provide technical leadership across events, identity, audiences, campaigns, measurement, optimization, CRM, and marketing data.
- Build reusable, configuration-driven, multi-tenant platforms with standardized schemas, contracts, observability, privacy, and deployment patterns.
- Establish governed agentic data capabilities for discovery, pipeline creation, monitoring, diagnosis, optimization, onboarding, and AI-ready products.
- Set production guardrails for security, reliability, explainability, safety, and measurable outcomes.
Requirements
- Bachelor’s degree in Computer Science and 5 years of experience in software engineering or a related field, or 7 years of experience in software engineering or a related field, or a master’s degree in Computer Science and 3 years of experience in software engineering or a related field.
- At least 4 years of experience in data engineering, database engineering, business intelligence, or business analytics.
- Deep expertise designing billion-scale, real-time and near-real-time distributed data systems using Spark, Flink, Kafka, streaming, orchestration, and compute/storage optimization.
- Strong experience with GCP or equivalent cloud platforms, including BigQuery, Dataproc, Dataflow, Pub-Sub, Airflow, and modern data infrastructure.
- Deep understanding of low-latency architectures, partitioning, backpressure, replay, consistency, fault tolerance, resilience, recovery, and cost efficiency.
- AdTech/MarTech experience across retail media, bidding, targeting, identity, attribution, measurement, reporting, CTV, and privacy-safe collaboration is desirable.
- Proven Principal-level leadership in architecture, standards, strategic trade-offs, design reviews, and senior technical talent.
- Preferred experience with data engineering, database engineering, business intelligence, business analytics, ETL tools, and large cloud-based datasets.
- A master’s degree in Computer Science or a related field and 5 years of software engineering or related experience is preferred.
- Knowledge of WCAG 2.2 AA standards, assistive technologies, and digital accessibility best practices is preferred.
Benefits
- Medical, vision, and dental coverage.
- 401(k), stock purchase benefits, and company-paid life insurance.
- Paid time off, including sick leave, parental leave, family care leave, bereavement, jury duty, and voting leave.
- Short-term and long-term disability, company discounts, Military Leave Pay, and adoption and surrogacy expense reimbursement.
- Performance-based bonus awards and possible stock compensation.
- Walmart-paid education benefits covering tuition, books, and fees for eligible programs from high school completion through bachelor’s degrees and certificates.
- Paid time off and/or PPTO amounts depend on job classification and length of employment.
- The position is based at 1275 Crossman Ave, Sunnyvale, California.
Tech Stack
Categories
Data Engineering
About Walmart
Walmart is a global omnichannel retailer that sells groceries, general merchandise, and services through Walmart and Sam's Club stores and online marketplaces for consumers and small businesses. Its model spans physical retail, e-commerce, advertising, and a vast supply chain, plus pharmacy, health, and financial services. Founded in 1962 and headquartered in Bentonville, Arkansas, Walmart Inc. is a public company on the NYSE (WMT) operating in the U.S. and multiple international markets.