Data Architect in Mundelein

• Experience as a Data Architect, Lead Data Engineer, Principal Data Engineer, or similar senior-level data role \n

• Strong SQL expertise \n

• Experience designing and implementing enterprise data solutions \n

• Hands-on experience with data integration, ETL/ELT, and data pipeline development \n

• Experience with modern data warehousing and/or lakehouse architectures \n

• Strong data modeling and data architecture experience \n

• Ability to work directly with business stakeholders to gather requirements and translate them into technical solutions \n

• Experience evaluating, recommending, and implementing data platform solutions \n

• Strong communication and consulting skills with the ability to influence technical and business decisions

Join a growing data organization where you’ll have the opportunity to influence enterprise data strategy, partner directly with business and technology leaders, and help shape the future of a modern data platform. This is a highly visible role that blends business discovery, architecture, and hands-on engineering.

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We’re seeking a senior-level Data Architect / Data Engineer who enjoys solving complex data challenges, building scalable solutions, and acting as a trusted advisor to stakeholders across the organization. The ideal candidate can move seamlessly between understanding business needs, designing enterprise data solutions, and rolling up their sleeves to help implement them.

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What You’ll Do

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• Partner with business and technical leaders to understand reporting, analytics, and data management needs \n

• Identify systems of record and define enterprise sources of truth \n

• Design and implement scalable data architectures, integrations, and pipelines \n

• Drive lakehouse, warehouse, and data platform strategies \n

• Evaluate current-state environments and recommend future-state solutions \n

• Build and support data ingestion, transformation, and integration processes \n

• Collaborate on data governance, stewardship, and ownership initiatives \n

• Present recommendations and technical concepts to both technical and non-technical audiences \n

• Help establish best practices for data architecture, engineering, and analytics \n

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