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Data Architect

Date: Nov 20, 2021

Location: Charlotte, NC, US, 28273

Company: Jeld-Wen Inc.


JELD-WEN (NYSE:JELD), founded in 1960, is one of the world’s largest door and window manufacturers, with more than 22,000 employees operating in 24 countries globally. Headquartered in Charlotte, North Carolina, JELD-WEN designs, produces and distributes an extensive range of interior and exterior doors, wood, vinyl and aluminium windows and related products for use in the new construction and repair and remodelling of residential homes and non-residential buildings. 
Our products and services afford us the opportunity to enter peoples’ workplaces, homes and daily lives. With this privilege comes great responsibility to ensure that the products we deliver are reliable and enrich the places and lives that they touch. We bring beauty and security to the spaces that touch our lives.

We act with integrity, invest in people, inspire through innovation, deliver on our promises and improve every day. We are seeking talented individuals who share this purpose and values and want to excel in their field of expertise. We offer excellent benefits, a collaborative environment in which to apply your talent and a dynamic and growing company, with exceptional career progression opportunities.


Position Summary


The Data & ETL Architect/Lead will be accountable for efficient design, successful delivery, and support of integration & data solutions at JELD-WEN. This role will partner with extended IT architects, cross functional business leaders, functional IT team members to define, design, prioritize, and deliver data integrations as well as design key data structures and schemas for a global integration data hub. This role will fully leverage internal platforms and third-party applications as sources and targets to enable business critical data flows using waterfall and agile approaches. This role will embrace traditional as well as open-source technologies and methodologies for delivering complex data integration in a global program.


  • Partner with IT architects and external consultants to define overarching integration data hub landscape to deliver data integration initiatives.
  • Design scalable patterns and architecture to support both batch near real-time, and real-time data products & platforms using big data technologies.
  • Design and document data structures and schemas in an API lead, data centric Integration Data Hub.
  • Ensure physical and logical data models are designed with flexibility in mind to support future use cases with minimal rework including canonical data model design.
  • Show expertise for data at all levels: low-latency, relational, and unstructured data stores; analytical and data lakes; data streaming, data in-transit.
  • Evaluate and advise on local or domain data architecture solutions.
  • Designing, implementing, and analyzing high performing queries.
  • Assist Reporting Managers and BI/Analytics developers to build and validate informative reports and dashboards
  • Understand business rules and data complexities to enforce data quality control for transactional and master data delivery with appropriate data delivery performance.
  • Lead discovery workshops mapping out multiple data platform technology solution requirements leveraging internal and external data sources to provide best practice guidelines.
  • Contribute to the direction, road map and standards for functional, process and technical data solutions.
  • Partner with functional and technical teams throughout the company to define, design and deliver a robust integration data platform integrated with transactional systems, master data management systems and business data warehouse solutions that meet business needs.
  • Troubleshoot and resolve database integrity issues, performance issues, blocking and deadlocking issues, connectivity issues, security issues etc.
  • Provide program and support metrics to the business identifying projects in the queue, prioritization, cost, ROI, resources and timeline required to complete the project
  • Recommend technologies that will enhance current data integration solutions to meet ever expanding corporate and business goals.
  • Guide continuous innovation of integration dub hub


Required Qualifications

  • Bachelor's degree in Computer Science, related discipline, or relevant work experience
  • Minimum 10 years of solid, diverse work experience to build and maintain data integration and storage platforms and services
  • 5+ years of experience architecting and delivering Enterprise Data Solutions including Data Lakes, Data Warehouses and Data Pipelines.
  • Experience with modern data movement, storage, management and security technology and tooling.
  • Experience with data modeling, data warehousing, and building high volume ETL/ELT pipelines.
  • Experience mapping and aligning data from disparate data sources into a semantic / canonical data model
  • Experience in implementing master data management solutions and processes
  • Experience with integration of multi-cloud services with on-premise technologies.
  • Experience with at least one MPP database technology such as Snowflake.
  • Knowledge of design and implementation of data integrations using Microsoft SSIS, SQL Server, Change Data Capture, Data Encryption / Decryption, SFTP etc. technologies
  • Experience with modern engineering practices and how to use and apply them to Data Architectures and solutions.
  • Experienced in requirement analysis, configuration, design and development, testing and monitoring of platforms and applications
  • Understanding of agile development, including DataOps is a plus.
  • Understanding of metadata management, data lineage, and data glossaries
  • Sound understanding of Data Streaming models
  • Should be highly proficient translating business requirements into technical designs and data models including end to end process of analysis, configuration, design, development, testing and monitoring of platforms and applications.
  • Excellent communication, interpersonal, and consultative skills to work effectively with vendors, peers, and IT staff.
  • Strong analytical and problem-solving skills.
  • Previous experience with application center experience (onshore/offshore model).
  • Ability to work effectively in a multi-disciplinary team.


Preferred Qualifications


  • Experience in cloud data engineering
  • Experience in Azure/AWS Datawarehousing tools (SQL Datawarehouse, DevOps, etc.)
  • Snowflake or other MPP implementation experience
  • Previous project leadership experience
  • Experience in vertical manufacturing and supply chain industries
  • Applicable certifications preferred





JELD-WEN is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, gender identity, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.

Unless explicitly requested or approached by JELD-WEN, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services

Nearest Major Market: Charlotte