(USA) Senior Manager, Data Engineering

Role summary

The Senior Manager, Data Engineering leads the design and implementation of scalable data solutions that support business objectives. This role requires expertise in data integration, transformation, and governance within cloud and big data environments. The position involves collaborating with cross-functional teams to translate complex business challenges into effective data strategies and architectures.

The successful candidate will oversee data quality, modeling, and automation efforts while ensuring compliance with regulatory standards. This leadership role fosters innovation and continuous improvement to optimize data assets and drive informed decision-making across the organization.

What you'll do

• Lead the design, development, and deployment of scalable data engineering solutions across multiple platforms.
• Translate complex business problems into data-driven strategies and technical implementations.
• Oversee data integration, transformation, and quality assurance processes to ensure reliable data pipelines.
• Implement and maintain data governance practices aligned with regulatory and ethical standards.
• Collaborate with cross-functional teams to align data architecture with business objectives.
• Mentor and guide team members on best practices in data modeling, coding, and testing.
• Evaluate emerging technologies to enhance big data analytics capabilities and automation.

What you'll bring

• Extensive experience in data engineering, including data transformation, integration, and big data analytics.
• Proficiency in SQL and other programming languages relevant to data pipeline development and automation.
• Strong knowledge of data governance, data quality frameworks, and regulatory requirements related to data privacy and security.
• Expertise in data modeling, warehousing, and cloud-based big data platforms such as Snowflake, Azure, or Google BigQuery.
• Ability to design and implement scalable data architectures and pipelines using modern tools and orchestration frameworks.
• Proven capability to translate complex business requirements into effective data solutions and strategies.
• Experience leading and mentoring, fostering continuous improvement and innovation in data engineering practices.

Pay and 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.

Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.

For information about benefits and eligibility, see One.Walmart.

The annual salary range for this position is $110,000.00 - $220,000.00

Additional compensation includes annual or quarterly performance bonuses.

Additional compensation for certain positions may also include

• Stock

Minimum Qualifications

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

• Option 1: Bachelor's degree in Computer Science and 5 years' experience in software engineering or related field.
• Option 2: 7 years' experience in software engineering or related field.
• Option 3: Master's degree in Computer Science and 3 years' experience in software engineering or related field.

• 4 years' experience in data engineering, database engineering, business intelligence, or business analytics.
• 1 year's supervisory experience.

Preferred Qualifications

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data engineering, database engineering, business intelligence, or business analytics, ETL tools and working with large data sets in the cloud, Master's degree in Computer Science or related field and 5 years' experience in software engineering or related field, 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.

Primary Location

805 Respect, Bentonville, AR 72716, United States of America