数据解决方案架构师
Data Solutions Architect
自1869年以来，我们通过人们喜爱的食物连接了无数人。我们自豪地守护着众多受人信赖的知名品牌。我们的产品组合包括标志性的Campbell’s品牌，以及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和V8。
在这里，你每天都能带来改变。你将获得支持，建立有成就感的职业生涯，拥有成长、创新和激励的机会。与我们一同创造历史。
为什么选择Campbell’s…
- 福利从入职第一天开始，包括医疗、牙科、短期和长期残疾、意外和身故保险（适用于个人、家庭和伴侣）。
- 员工可参与匹配的401(k)计划，可在入职第一天参加并立即获得归属权。
- Campbell’s提供无限制的病假，以及带薪休假和节假日工资。
- 若在WHQ – 可免费使用健身中心。提供现场托儿服务（由Bright Horizons运营）和公司商店。
- 回馈员工工作和生活的社区对Campbell’s非常重要。我们的“Campbell’s Cares”计划每年匹配员工捐款和/或志愿服务，最高达1500美元。
- Campbell’s提供多种员工资源小组（ERGs）以支持员工。
你将如何在这里创造历史…
作为数据解决方案架构师，你将在塑造和推进我们的企业数据平台战略中发挥关键作用。你将设计可扩展、安全且受控的数据解决方案，以支持组织内的分析、报告和业务决策。通过建立架构标准、指导工程团队并推动最佳实践，你将帮助构建一个现代的数据生态系统，满足当前和未来业务需求。
你将负责…
- 利用Databricks、Azure和现代云数据技术设计和实现企业级数据解决方案。
- 使用Delta Lake和Medallion架构原则领导数据工程解决方案设计。
- 指导和培养负责数据建模、ETL/ELT开发和数据平台实施的团队。
- 定义和实现可扩展的数据集成模式和数据传输策略。
- 建立、维护并演进架构标准、编码标准和工程最佳实践。
- 使用Unity Catalog、基于角色的访问控制（RBAC）、数据掩码、行级安全等实现和强制执行数据安全框架。
查看英文原文
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 needs and deliver scalable solutions.
- Cross-functional technology teams supporting cloud infrastructure, DevOps, and application integrations.
WHAT YOU BRING TO THE TABLE… (MUST HAVE)
- Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.
- 8+ years of experience in Data Engineering, Data Architecture, or related disciplines.
- Strong hands-on experience with Databricks, Apache Spark, Delta Lake, and Unity Catalog.
- Experience working with Azure Data Lake, Azure Data Factory, and SQL-based data solutions.
- Deep understanding of Medallion Architecture, data warehousing concepts, and dimensional data modeling.
- Experience designing and implementing secure, governed enterprise data platforms.
- Knowledge of CI/CD practices, Git, automated testing frameworks, and Infrastructure as Code (IaC).
- Proven ability to troubleshoot, optimize, and scale large-volume data pipelines and data processing workloads.
- Strong communication, collaboration, and stakeholder management skills.
- Demonstrated ability to establish technical standards and mentor engineering teams.
IT WOULD BE GREAT IF YOU HAVE… (NICE TO HAVE)
- Azure and/or Databricks certifications.
- Experience with enterprise reporting and analytics platforms such as MicroStrategy and Power BI.
- Experience defining and implementing enterprise data architecture standards and governance frameworks.
- Experience supporting large-scale cloud modernization and data transformation initiatives.
- Familiarity with enterprise-wide data quality, metadata management, and data lineage solutions.
Compensation and Benefits:
The target base salary range for this full-time, salaried position is between
$127,900-$175,900Individual base pay depends on work location and additional factors such as experience, job-related skills, and relevant education or training. Total pay may include other forms of compensation. In addition, we offer competitive health, dental, 401k and wellness benefits beginning on the first day of employment. Please ask your Talent Acquisition Partner for more information about our total rewards package.
The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.
Originally posted on Himalayas