CrawlJobs Logo

Lead Engineer - Warehouse Management System

genpt.com Logo

Genuine Parts Company

Location Icon

Location:
United States , Atlanta

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

This Lead Engineer Warehouse Management System (WMS) position will be Distribution Center (internal customer) focused on better outline the design and coding of application functionality to outline and meet DC (Internal customer) requirements. In this role you lead a team of senior engineers and engineers accountable for delivering a multi-year transformation initiative. You and your team will be responsible for design, Develop, Testing, implementing, and optimizing warehouse management solutions using Manhattan's Active WMS.

Job Responsibility:

  • Serves as a subject matter expert within the Manhattan Associates suite of applications, Preferably MA Active WMS Platform
  • Lead and manage a team of Engineers and Senior Engineers
  • Serves as a subject matter expert for all DC Automation systems (WES, MHE) integrating with WMS Systems
  • Provide technical guidance in API development, Google Cloud development and support to the implementation team
  • Develop and support MA Active ProActive Custom changes as per business need
  • Collaborate with stakeholders to gather requirements and translate them into technical specifications
  • Optimize warehouse operations by developing and implementing best practices and process improvements
  • Monitor system performance and recommend improvements to improve productivity
  • Conduct workshops sessions to ensure effective use of the system
  • Stay updated with Manhattan Active new product release (innovations) in warehouse management
  • Self-sufficient - completes tasks competently, effectively, and efficiently based on level of priority
  • Provide guidance for automation testing and Performance testing for WMS application
  • Develop test plans for both unit and systems testing
  • Verify the finalization of the stability of Code deliverables (SDN & Config) from Manhattan, as well as the impact of the production system
  • Must completely document all modifications and be able to maintain systems level documentation
  • Assist in developing and maintaining departmental systems standards
  • Support and troubleshooting issues with the assistance of the functional analysts
  • Work with architects and team, to incorporate Artificial Intelligence (AI) tools and techniques to solve business problems
  • Be part of an On-call rotation and support for Business continuity after Go-Live
  • Minimum travel requirement of 30-40%, as part of each DC implementation
  • Other duties as assigned

Requirements:

  • Bachelor’s degree in Engineering, related field, or equivalent work experience
  • Minimum 10+ years of experience, developing workflows & config within Manhattan WMS (WMOS, MAWM) Applications, working with WES and MHE Implementations
  • Familiarity with modern tech stacks, API development, Google Cloud
  • Experience working with cloud platforms and cloud-native development
  • Experience with Host (ERP) - WMS Integrations using Manhattan Integration Framework (MIF)
  • Creative & Critical Thinking and Driving Results which are required in resolving complex projects or tasks
  • Excellent internal and external customer service skills with the ability to communicate effectively
  • Project management, analytical, troubleshooting, and critical thinking skills
  • Strong verbal and written communication skills
  • Ability to work well under pressure, independently or within a team
  • Exceptional follow up and diligence
  • Exposure to DevOps practices and tools
  • Knowledge of AI tools and industry trends

Nice to have:

Knowledge of integrating warehouse management systems with other equipment and systems such as, Warehouse control systems (WCS), TMS, and ShipExec is desirable

What we offer:
  • Flexible Working Schedules
  • Wellbeing Programs
  • Learning Opportunities
  • Community Engagement
  • Paid Parental Leave
  • Pet Insurance

Additional Information:

Job Posted:
April 11, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Lead Engineer - Warehouse Management System

Engineering Manager

ClickHouse is seeking an engineering manager to lead our team of software engine...
Location
Location
China
Salary
Salary:
Not provided
clickhouse.com Logo
ClickHouse
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Fluent English and Mandarin for seamless technical discussions with global teams and Chinese customers
  • Outstanding customer-facing communication skills with the ability to build trusted relationships at all organizational levels
  • Deep database expertise - internals, query optimization, distributed systems, OLAP technologies
  • Strong architecture design capabilities for large-scale, mission-critical data platforms
  • PB-scale real-time data warehouse hands-on experience building and operating production systems
  • Cloud-Native proficiency - solid experience with cloud-native architecture and infrastructure, with hands-on knowledge of at least one major cloud service provider (AWS, GCP, Azure, Alibaba Cloud)
  • Team leadership experience managing technical teams of 10+ engineers
  • 8+ years in database/data warehouse/big data technologies
  • High level of responsibility, ownership, and accountability - thrives in a high-velocity environment with significant autonomy
  • Founder's mindset with a focus on impact, innovation, and delivering measurable results
Job Responsibility
Job Responsibility
  • Build and lead a high-performing technical team in China, fostering a culture of technical excellence and customer obsession
  • Support Alibaba Cloud & ClickHouse partnership with deep technical expertise, driving integration, optimization, and go-to-market strategies
  • Lead enterprise customer POCs from architecture design to production deployment, translating business requirements into scalable technical solutions
  • Design PB-scale real-time data warehouse architectures, leveraging ClickHouse's exceptional performance for mission-critical workloads
  • Partner with global Sales, Product, and Engineering teams, representing customer needs and driving product innovation
  • Represent ClickHouse at technical conferences, meetups, and community events in China
What we offer
What we offer
  • Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in 20 countries
  • Healthcare - Employer contributions towards your healthcare
  • Equity in the company - Every new team member who joins our company receives stock options
  • Time off - Flexible time off in the US, generous entitlement in other countries
  • A $500 Home office setup if you’re a remote employee
  • Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites
Read More
Arrow Right

Sr. Manager, Industrial Engineering

This role will be based at Archer’s headquarters in San Jose, California. Archer...
Location
Location
United States , San Jose
Salary
Salary:
196800.00 - 246000.00 USD / Year
archer.com Logo
Archer Aviation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Industrial Engineering, Manufacturing Systems, or related field (Ph.D. preferred)
  • 10+ years of experience in industrial engineering, with at least 3 years in a leadership capacity
  • Deep expertise in lean manufacturing, Six Sigma, and continuous improvement methodologies
  • Proven track record developing and implementing standardized processes and factory layouts in a complex, fast-paced manufacturing environment
  • Hands-on experience with time studies, motion analysis (MODAPTS), and work measurement tools
  • Skilled with discrete event simulation tools and plant layout tools
  • Experience defining and managing MPP routings, MES integrations, and SAP cost models
  • Strong understanding of ergonomics, material presentation, and human-machine interface design
  • Demonstrated success leading teams in data-driven decision making and performance improvement
  • Excellent communication and organizational skills with the ability to influence across technical and non-technical functions
Job Responsibility
Job Responsibility
  • Lead the Industrial Engineering (IE) organization responsible for defining, standardizing, and optimizing systems globally across Archer’s engineering, manufacturing, and supply chain
  • Build and develop a high-performing team of Industrial Engineers focused on process design, capacity analysis, layout optimization, and lean implementation
  • Own the development of Manufacturing System Design (MSD) — ensuring seamless integration of people, machines, materials, and information through all phases: plan, design, validate, and improve
  • Drive the standardization of IE methodologies
  • Oversee plant and warehouse layout design, including space utilization studies, storage systems, and material flow paths that tie directly to CapEx and operational efficiency
  • Design warehouse and lineside material flow systems, including kitting strategies, packaging standards, and custom cart or container designs that improve ergonomics and presentation at point-of-use
  • Establish headcount, labor rates, and efficiency standards to support production and budget planning
  • Lead the design-in of ergonomics, operator aids, racks, carts, and WIP management systems that enhance safety and efficiency
  • Deploy discrete event simulation and digital twin modeling to evaluate throughput, optimize resource allocation, and validate production scenarios for both NPI and sustaining lines
  • Collaborate with cross-functional teams — Manufacturing Engineering, Operations, Facilities, Quality, Safety, and Finance — to implement world-class production systems
  • Fulltime
Read More
Arrow Right

Industrial Engineer and Project Manager

This role blends technical leadership with client-facing project execution. You’...
Location
Location
Canada , Greater Toronto Area
Salary
Salary:
Not provided
progima.com Logo
Progima
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience in a manufacturing environment is required
  • Bachelor’s degree in Industrial, Manufacturing or Mechanical Engineering (or equivalent experience)
  • Member of Professional Engineers Ontario (PEO)
  • Flexible schedule and the ability to travel regularly throughout the industrial regions of the Greater Toronto Area (GTA)
  • Ability to thrive in a fast-paced and dynamic environment and present strong ethics and a deep commitment to clients’ and coworkers’ success
  • Excellent analytical and problem-solving skills couple with project management skills
  • Strong written and oral communication skills
  • Strong sense of responsibility and accountability
  • Driven by operational efficiency, results, and strong task performance
  • Must be a Canadian citizen or Landed Immigrant and meet Controled Goods Program requirements
Job Responsibility
Job Responsibility
  • Lead the industrial strategic planning process with the client’s executive team, designing factories, and warehouse layouts to maximize productivity and minimize waste
  • Conduct feasibility studies, including budget assessments, to evaluate prospective projects and present recommendations to senior management and clients
  • Work closely with our customers’ production personnel and managers to implement improvements, manage projects and ensure successful execution
  • Possess a strong background in industrial systems selection, a good knowledge of the supplier ecosystem and of the automation technologies
  • Manage large discrete manufacturing industrial transfers with a straightforward project management approach
  • Supporting Progima’s business development initiatives, including client meetings and proposal writing, to expand our client base and foster long-term relationships
What we offer
What we offer
  • Performance-based bonus structure
  • Group insurance benefits
  • Long-term career growth and the opportunity to lead and innovate in a collaborative, forward-thinking company
  • The chance to make a tangible impact across a diverse range of industries
  • Fulltime
Read More
Arrow Right

Data Engineering & Analytics Lead

Premium Health is seeking a highly skilled, hands-on Data Engineering & Analytic...
Location
Location
United States , Brooklyn
Salary
Salary:
Not provided
premiumhealth.org Logo
Premium Health
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred
  • Proven track record and progressively responsible experience in data engineering, data architecture, or related technical roles
  • healthcare experience preferred
  • Strong knowledge of data engineering principles, data integration, ETL processes, and semantic mapping techniques and best practices
  • Experience implementing data quality management processes, data governance frameworks, cataloging, and master data management concepts
  • Familiarity with healthcare data standards (e.g., HL7, FHIR, etc), health information management principles, and regulatory requirements (e.g., HIPAA)
  • Understanding of healthcare data, including clinical, operational, and financial data models, preferred
  • Advanced proficiency in SQL, data modeling, database design, optimization, and performance tuning
  • Experience designing and integrating data from disparate systems into harmonized data models or semantic layers
  • Hands-on experience with modern cloud-based data platforms (e.g Azure, AWS, GCP)
Job Responsibility
Job Responsibility
  • Collaborate with the CDIO and Director of Technology to define a clear data vision aligned with the organization's goals and execute the enterprise data roadmap
  • Serve as a thought leader for data engineering and analytics, guiding the evolution of our data ecosystem and championing data-driven decision-making across the organization
  • Build and mentor a small data team, providing technical direction and performance feedback, fostering best practices and continuous learning, while remaining a hands-on implementor
  • Define and implement best practices, standards, and processes for data engineering, analytics, and data management across the organization
  • Design, implement, and maintain a scalable, reliable, and high-performing modern data infrastructure, aligned with the organizational needs and industry best practices
  • Architect and maintain data lake/lakehouse, warehouse, and related platform components to support analytics, reporting, and operational use cases
  • Establish and enforce data architecture standards, governance models, naming conventions ,and documentation
  • Develop, optimize, and maintain scalable ETL/ELT pipelines and data workflows to collect, transform, normalize, and integrate data from diverse systems
  • Implement robust data quality processes, validation, monitoring, and error-handling frameworks
  • Ensure data is accurate, timely, secure, and ready for self-service analytics and downstream applications
What we offer
What we offer
  • Paid Time Off, Medical, Dental and Vision plans, Retirement plans
  • Public Service Loan Forgiveness (PSLF)
  • Fulltime
Read More
Arrow Right

Lead Data Engineer

As a Lead Data Engineer or architect at Made Tech, you'll play a pivotal role in...
Location
Location
United Kingdom , Any UK Office Hub (Bristol / London / Manchester / Swansea)
Salary
Salary:
80000.00 - 96000.00 GBP / Year
madetech.com Logo
Made Tech
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proficiency in Git (inc. Github Actions) and able to explain the benefits of different branch strategies
  • Strong experience in IaC and able to guide how one could deploy infrastructure into different environments
  • Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop
  • Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes)
  • Ability to create data pipelines on a cloud environment and integrate error handling within these pipelines
  • You understand how to create reusable libraries to encourage uniformity or approach across multiple data pipelines
  • Able to document and present end-to-end diagrams to explain a data processing system on a cloud environment
  • Some knowledge of how you would present diagrams (C4, UML, etc.)
  • Enthusiasm for learning and self-development
  • You have experience of working on agile delivery-lead projects and can apply agile practices such as Scrum, XP, Kanban
Job Responsibility
Job Responsibility
  • Define, shape and perfect data strategies in central and local government
  • Help public sector teams understand the value of their data, and make the most of it
  • Establish yourself as a trusted advisor in data driven approaches using public cloud services like AWS, Azure and GCP
  • Contribute to our recruitment efforts and take on line management responsibilities
  • Help implement efficient data pipelines & storage
What we offer
What we offer
  • 30 days of paid annual leave
  • Flexible parental leave options
  • Part time remote working for all our staff
  • Paid counselling as well as financial and legal advice
  • 7% employer matched pension
  • Flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan
  • Optional social and wellbeing calendar of events
  • Fulltime
Read More
Arrow Right

Vice President of Engineering

Join a Series A–funded digital asset risk-management platform backed by Microsof...
Location
Location
United Kingdom
Salary
Salary:
140000.00 - 170000.00 GBP / Year
weareorbis.com Logo
Orbis Consultants
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Languages & Backend: Python, Go (Golang), TypeScript
  • Strong understanding of distributed systems, microservices, API-driven architectures
  • Data & Analytics: AWS Redshift, Athena, DynamoDB, Snowflake (or equivalent cloud data warehouses)
  • Kafka, Kinesis, or other streaming/event platforms
  • Experience building large-scale ingestion and normalisation pipelines
  • Experience with analytics engines, scoring frameworks, and real-time compute
  • Cloud & Infrastructure: AWS preferred (EKS, Lambda, S3, IAM, CloudWatch, ECS)
  • CI/CD tooling, infrastructure-as-code, observability, monitoring, deployment pipelines
  • Experience operating highly available systems in production environments
  • Security, Compliance & Enterprise: Secure systems design, identity/auth workflows, audit trails
Job Responsibility
Job Responsibility
  • Engineering Leadership & Execution: Lead engineering teams across backend, frontend, SRE, data platforms, and risk analytics
  • Drive execution of the engineering roadmap, delivering secure, scalable enterprise software
  • Define engineering processes that promote iteration, performance, and predictable delivery in a remote-first environment
  • Architecture & Platform Direction: Own end-to-end evolution of platform architecture: ingestion pipelines, scoring engines, real-time compute, APIs, and integrations
  • Guide system design decisions that ensure resilience, scale, and extensibility amid growing regulatory and market complexity
  • Lead technical direction for enterprise deployments, POCs, and customer integrations
  • Data Infrastructure & Analytics: Scale the data platform to support broader asset coverage, higher throughput, and more sophisticated analysis
  • Develop advanced analytics capabilities including anomaly detection, cross-chain signals, and automated scoring models
  • Ensure data accuracy, quality, and resiliency across pipelines and computation layers
  • Emerging AI & Automation Capabilities: Introduce new automation, reporting, and workflow intelligence features
What we offer
What we offer
  • Competitive salary + meaningful equity
  • Medical insurance (location dependent)
  • Fully remote + home office budget
  • Supported attendance at blockchain conferences
  • Opportunities to collaborate globally and shape emerging industry standards
  • Fulltime
Read More
Arrow Right

Lead Data Engineer

Lead Data Engineer to serve as both a technical leader and people coach for our ...
Location
Location
India , Gurugram
Salary
Salary:
Not provided
https://www.circlek.com Logo
Circle K
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or master’s degree in computer science, Engineering, or related field
  • 8-10 years of data engineering experience with strong hands-on delivery using ADF, SQL, Python, Databricks, and Spark
  • Experience designing data pipelines, warehouse models, and processing frameworks using Snowflake or Azure Synapse
  • Proficient with CI/CD tools (Azure DevOps, GitHub) and observability practices
  • Solid grasp of data governance, metadata tagging, and role-based access control
  • Proven ability to mentor and grow engineers in a matrixed or global environment
  • Strong verbal and written communication skills, with the ability to operate cross-functionally
  • Strong Knowledge of Data Engineering concepts (Data pipelines creation, Data Warehousing, Data Marts/Cubes, Data Reconciliation and Audit, Data Management)
  • Working Knowledge of Dev-Ops processes (CI/CD), Git/Jenkins version control tool, Master Data Management (MDM) and Data Quality tools
  • Strong Experience in ETL/ELT development, QA and operation/support process (RCA of production issues, Code/Data Fix Strategy, Monitoring and maintenance)
Job Responsibility
Job Responsibility
  • Design, develop, and maintain scalable pipelines across ADF, Databricks, Snowflake, and related platforms
  • Lead the technical execution of non-domain specific initiatives (e.g. reusable dimensions, TLOG standardization, enablement pipelines)
  • Architect data models and re-usable layers consumed by multiple downstream pods
  • Guide platform-wide patterns like parameterization, CI/CD pipelines, pipeline recovery, and auditability frameworks
  • Mentoring and coaching team
  • Partner with product and platform leaders to ensure engineering consistency and delivery excellence
  • Act as an L3 escalation point for operational data issues impacting foundational pipelines
  • Own engineering best practices, sprint planning, and quality across the Enablement pod
  • Contribute to platform discussions and architectural decisions across regions
  • Fulltime
Read More
Arrow Right

Lead Data Engineer

Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader i...
Location
Location
India , Gurugram
Salary
Salary:
Not provided
https://www.circlek.com Logo
Circle K
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or master’s degree in computer science, Engineering, or related field
  • 7-9 years of data engineering experience with strong hands-on delivery using ADF, SQL, Python, Databricks, and Spark
  • Experience designing data pipelines, warehouse models, and processing frameworks using Snowflake or Azure Synapse
  • Proficient with CI/CD tools (Azure DevOps, GitHub) and observability practices
  • Solid grasp of data governance, metadata tagging, and role-based access control
  • Proven ability to mentor and grow engineers in a matrixed or global environment
  • Strong verbal and written communication skills, with the ability to operate cross-functionally
  • Certifications in Azure, Databricks, or Snowflake are a plus
  • Strong Knowledge of Data Engineering concepts (Data pipelines creation, Data Warehousing, Data Marts/Cubes, Data Reconciliation and Audit, Data Management)
  • Working Knowledge of Dev-Ops processes (CI/CD), Git/Jenkins version control tool, Master Data Management (MDM) and Data Quality tools
Job Responsibility
Job Responsibility
  • Design, develop, and maintain scalable pipelines across ADF, Databricks, Snowflake, and related platforms
  • Lead the technical execution of non-domain specific initiatives (e.g. reusable dimensions, TLOG standardization, enablement pipelines)
  • Architect data models and re-usable layers consumed by multiple downstream pods
  • Guide platform-wide patterns like parameterization, CI/CD pipelines, pipeline recovery, and auditability frameworks
  • Mentoring and coaching team
  • Partner with product and platform leaders to ensure engineering consistency and delivery excellence
  • Act as an L3 escalation point for operational data issues impacting foundational pipelines
  • Own engineering best practices, sprint planning, and quality across the Enablement pod
  • Contribute to platform discussions and architectural decisions across regions
  • Fulltime
Read More
Arrow Right