Lead Data Engineer

Resolves complex problems spanning across multiple applications to deliver value; leads products with significant business implications, participates in planning, estimation, and prioritization in tandem with the respective product manager, and advises other engineers; executes with limited guidance.
Evaluates and facilitates decisions on build versus buy as well as best fit platform suitable for the business problem.
Leads development of integrated business and/or enterprise application solutions to ensure specifications are flexible, scalable, and maintainable and meet architectural standards.
Mentors and advises others in all software development lifecycle phases by applying and sharing an in-depth understanding of company and industry methodologies (Agile and Kanban), policies, standards, controls, current architectural standards, and guidelines.
Establishes best source control and continuous integration/continuous deployment (CI/CD) practices for efficient testing and deployment of code to different environments.
Communicates changes in software architecture and coaches others to apply this understanding to data or platform solutions; leads the resolution of production incidents along with root cause analysis.
Works across multiple domains to define and design a data lake/data solution to meet business needs and product objectives and key results, service level agreements, data quality, data governance, and observability.
Partners with platform, architecture, and various stakeholders to design and architect solutions meeting business needs.
Continuously improves efficiency of data pipelines and extract, transform, load (ETL) processes across the organization.
Analyzes and organizes data to evaluate the usefulness and relevance of data required for insights requested by business.
Designs, leads, and delivers the development, maintenance, and enhancements of operational, analytical (including self-serve) applications across various business domains; provides direction to matrixed engineering resources to deliver reports on-premises and cloud infrastructure; creates frameworks and reusable components.
Leads infrastructure-related projects from idea generation through implementation, including needs analysis, cost/benefit analysis, selection, implementation, knowledge transfer, and support.
Analyzes and proposes design alternatives, facilitates appropriate design decisions, and assesses risk, cost, schedule, and resource tradeoffs; understands networking, like subnetting, routing, virtual private cloud/virtual network, security groups, and load balancing.

Required Qualifications:
7 years of experience in data, business intelligence, or platform engineering, data warehousing/ETL, or software engineering
6 years of experience working on project(s) involving the implementation of solutions applying development life cycles (SDLC)
4 years of expertise in object-oriented programming/structure programming, SQL, and scripting
4 years of experience in big data and Cloud big data technologies
Bachelors degree in engineering, computer science, computer information systems (CIS), or related field (or equivalent work experience in lieu of degree)

Preferred Qualifications:
6 years of IT experience developing and implementing business systems within an organization
4 years of experience leading teams, with or without direct reports
4 years of experience working with CI/CD tools
Masters degree in computer science, CIS, or related field

Lowes 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.