Sr Data Engineer

Innovate in Charlotte

Thank you for dedicating your time and talent to Lowe’s.  We want to give you more opportunities to learn and grow, so if you find a position you’re interested in below, we encourage you to apply!

Your Impact

The primary purpose of this role is to build the trusted analytical foundations that allow Lowe’s teams to scale insights, reporting, self-service analytics, dashboards, and AI-assisted decision-making. The Senior Data engineer helps convert repeated business questions, metric definitions, and dashboard needs into reusable and governed analytical data products.

This role plays a critical part in reducing manual data pulls, improving consistency of metrics, enabling self-service, supporting semantic layer development, and creating AI-ready data foundations. By building scalable and trusted analytical assets, this role allows analysts to spend more time on complex business analysis, root-cause analysis, storytelling, recommendations, and decision support.

This role works closely with Analytics, Product, Engineering, Data Engineering, and business stakeholders to ensure that data models, semantic layers, explores, and metric definitions are accurate, documented, reusable, and aligned to business needs.

Where You’ll Be

Associates are required to relocate to the Lowe's Tech Hub Charlotte NC to foster collaboration and support. The ideal candidate must be willing to work in the office at our Charlotte Tech Hub, office location, 5 days per week. Most business meetings are planned around the Eastern time zone

Work with a Winning Team:

As part of a Fortune 500 company and retail leader, your work can change an entire industry. Our CEO is a forward-thinker when it comes to tech, and with one of Forbes Top 50 CIOs leading the charge, you can come to work knowing you’ll have access to the data, tools, and support that few other companies can offer. We also know what it takes to create an inclusive culture that supports you. Our teams are structured around the engineer, giving you the support you need to do your best work. Since we’ve been in business for over 100 years, we’ve built an excellent track record of growth and success. There’s peace of mind knowing you have the stability and resources you need to focus on solving tough challenges. And as you solve these challenges, know you’ll be surrounded by supportive associates with curious minds who listen to you, respect you, and recognize your hard work.

What You Will Do

1. Analytical Data Modeling & Semantic Layer

- Translate business problems, reporting needs, and metric definitions into reusable analytical data models, semantic layer objects, explores, measures, dimensions, and certified datasets.
- Use advanced SQL, data modeling, and domain knowledge to build reliable analytical logic across enterprise data platforms.
- Develop governed semantic layer assets and self-service explores that reduce ad hoc data pulls and enable scalable reporting.

2. Data Engineering & Quality

- Design, build, validate, and maintain scalable analytical assets supporting dashboards, self-service reporting, AI-assisted analysis, and decision-making.
- Perform data validation, reconciliation, quality checks, and performance reviews to ensure accurate, consistent, and scalable outputs.
- Partner with development teams to test, deploy, monitor, and optimize analytical assets, semantic layer updates, tracking logic, and integrations.

3. Project Planning & Cross-Functional Collaboration

- Develop data engineering project plans covering scope, requirements, technical approach, dependencies, timelines, risks, and outcomes.
- Partner with Analytics, Product, Engineering, Data Engineering, and business teams to align definitions, source logic, data lineage, grain, joins, filters, attribution, and usage expectations.
- Clearly communicate data model design, semantic logic, project status, risks, issues, and recommendations to stakeholders.

4. Reporting Optimization & AI-Ready Analytics

- Support dashboard rationalization by identifying duplicate logic, low-value reporting, manual work, and opportunities to automate, productize, transition, or retire assets.
- Support Newton Analyst and AI-assisted analytics by validating outputs, enabling trusted metric access, and creating governed AI-ready data assets.
- Recommend improvements to data quality, metric consistency, self-service adoption, reporting scalability, and business impact.

5. Documentation, Mentorship & Impact

- Maintain documentation for metric definitions, transformation logic, source-to-target mapping, lineage, assumptions, limitations, and usage guidance.
- Mentor Associate Data Engineers, Analysts, and team members on SQL, data modeling, semantic layers, validation, documentation, and engineering best practices.
- Measure impact through reduced manual data pulls, improved dashboard performance, increased self-service adoption, stronger metric consistency, and greater trust in analytical outputs.

Minimum Qualifications

- Bachelor’s degree in engineering, computer science, computer information systems (CIS), or related field or equivalent years of experience in lieu of education requirement, if applicable
- 5 years of experience in data, business intelligence or platform engineering, data warehousing/ETL, or software engineering
- 4 years of experience working on project(s) involving the implementation of solutions applying development life cycles (SDLC)
- 3 years of experience in object-oriented programming/structure programming, SQL, and scripting
- 3 years of experience in big data technology
- 3 years of experience in cloud-based big data technologies

Preferred Skills/Education

- Master’s degree in Business, Engineering, Computer Science, Data Science, Statistics, Information Systems, Economics, or related field.
- Experience with semantic modeling, governed datasets, LookML, dbt, advanced SQL, and cloud data platforms.
- Experience with data modeling, optimization, data quality, lineage, testing, CI/CD, and reporting automation.
- Experience with self-service and AI-assisted analytics, metric governance, and tools such as Python, R, Alteryx, Knime, or SAS.
- Experience delivering complex data solutions across Product, Engineering, Analytics, and business teams, including project management and large-scale retail data.

Benefits

401k with up to 4.25% match

Discounted Employee Stock Purchase Plan (15% discount of strike price)

Tuition-Free Education

10-week Maternity/Parental Leave

10% Associate Discount

For information about our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits

About Lowe’s

Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 100 home improvement company with total fiscal year 2025 sales of more than $86 billion. Lowe’s employs approximately 300,000 associates and operates over 1,750 home improvement stores, 540 branches and 120 distribution centers. Lowe’s is a core value S&P 500 equity stock and a dividend aristocrat. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit  Lowes.com .

Lowe’s is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.