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Data Solutions Architect

Job in Chicago, Cook County, Illinois, 60601, USA
Listing for: Campbell Soup Company
Full Time position
Listed on 2026-10-30
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 128000 - 176000 USD Yearly USD 128000.00 176000.00 YEAR
Job Description & How to Apply Below
## Data Solutions Architect Apply locations:
USA - Remote time type:
Full time posted on:
Posted Todayjob requisition :
Req-67261
** Since 1869, we've connected people through food they love. We’re proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell’s brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao’s Homemade, Snack Factory, Snyder’s of Hanover. Swanson, and V8.
**** Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.
**** Why Campbell’s...
*** Benefits begin on day one and include medical, dental, short and long-term disability, AD&D, and life insurance (for individual, families, and domestic partners).
* Employees are eligible for our matching 401(k) plan and can enroll on the first day of employment with immediate vesting.
* Campbell’s offers unlimited sick time along with paid time off and holiday pay.
* If in WHQ – free access to the fitness center. Access to on-site day care (operated by Bright Horizons) and company store.
* Giving back to the communities where our employees work and live is very important to Campbell’s.
Our “Campbell’s Cares” program matches employee donations and/or volunteer activity up to $1,500 annually.
* Campbell’s has a variety of Employee Resource Groups (ERGs) to support employees.
** HOW YOU WILL MAKE HISTORY HERE...
** As a Data Solutions Architect, you will play a key role in shaping and advancing our enterprise data platform strategy. You will design scalable, secure, and governed data solutions that enable analytics, reporting, and business decision-making across the organization. By establishing architectural standards, mentoring engineering teams, and driving best practices, you will help build a modern data ecosystem that supports current and future business needs.
** WHAT YOU WILL DO...
*** Design and implement enterprise data solutions leveraging Databricks, Azure, and modern cloud data technologies.
* Lead data engineering solution design utilizing Delta Lake and Medallion Architecture principles.
* Guide and mentor teams responsible for data modeling, ETL/ELT development, and data platform implementation.
* Define and implement scalable data integration patterns and data movement strategies.
* Establish, maintain, and evolve architecture standards, coding standards, and engineering best practices.
* Implement and enforce data security frameworks using Unity Catalog, role-based access controls (RBAC), data masking, row-level security, column-level security, and least-privilege access models.
* Ensure data quality, monitoring, auditing, lineage, and governance capabilities are implemented and maintained across data solutions.
* Optimize Apache Spark workloads, Delta tables, and SQL queries for performance, scalability, and cost efficiency.
* Review technical designs and provide guidance to data engineers and development teams.
* Create and maintain architecture documentation, technical standards, and reusable design patterns.
* Partner with stakeholders to ensure data solutions align with business objectives and enterprise architecture strategies.
** WHO YOU WILL WORK WITH...
*** Data Engineering teams responsible for building and maintaining data pipelines and data products.
* Analytics, Reporting, and Business Intelligence teams leveraging enterprise data assets.
* Enterprise Architecture and Technology leaders to align solutions with organizational standards.
* Data Governance and Security teams to ensure compliance, data protection, and governance requirements are met.
* Business stakeholders and product teams to understand data…
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