3 days ago
Base Salary
$143k - $286k/yr
Responsibilities
- Architect and evolve large-scale distributed data pipelines and platform capabilities for global marketing channels.
- Set technical direction and engineering standards for data modeling, pipeline design, observability, reliability, and performance.
- Partner with marketing technology stakeholders, product managers, and platform teams to translate business needs into reusable data platform capabilities.
- Mentor senior and mid-level data engineers and provide technical leadership through design and code reviews.
- Champion automated testing, monitoring, alerting, incident response, CI/CD, and on-call readiness for mission-critical pipelines.
- Contribute to the long-term technical roadmap and platform improvements.
Requirements
- Bachelor’s degree in Computer Science and 4 years of software engineering or related experience, 6 years of software engineering or related experience, or a master’s degree in Computer Science and 2 years of software engineering or related experience.
- At least 3 years of experience in data engineering, database engineering, business intelligence, or business analytics.
- Strong experience designing and operating billion-scale distributed data systems using Spark, Kafka, streaming, orchestration, and large-scale batch technologies.
- Deep expertise in SQL, data modeling, partitioning, performance tuning, incremental processing, and compute and storage optimization.
- Hands-on experience with GCP or equivalent cloud platforms, including BigQuery, Dataproc, Dataflow, Pub/Sub, GCS, and Airflow.
- Strong Python skills plus proficiency in Java or Scala.
- Knowledge of data quality, lineage, observability, testing, reliability, and incident management.
- Proven Staff-level leadership through domain ownership, cross-team influence, design reviews, mentoring, and measurable platform improvements.
- Preferred experience in martech or adtech, ETL tools, and working with large cloud datasets.
- Preferred master’s degree in Computer Science or a related field with 4 years of software engineering or related experience.
- Preferred knowledge of WCAG 2.2 AA, assistive technologies, and digital accessibility practices.
Benefits
- Medical, vision, and dental coverage.
- 401(k), stock purchase program, and company-paid life insurance.
- Paid time off including sick leave, parental leave, family care leave, bereavement, jury duty, and voting leave.
- Short- and long-term disability, company discounts, Military Leave Pay, and adoption and surrogacy expense reimbursement.
- Walmart-paid education benefits covering tuition, books, and fees for eligible programs from high school completion through bachelor’s degrees and certificates.
- Additional annual or quarterly performance bonuses and potential stock compensation.
- The position is located at 815 Eleventh 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.