The Data & Analytics Architect influences the strategic use of data for one of the largest and most respected private companies in Arizona. This highly motivated, team-oriented data professional has a passion for building scalable and secure data solutions that empower self-service business intelligence, insight-driven analytics, and ai-powered decision support.
Essential Duties:
Architect, Design & Build Data & Analytics Solutions:
Lead the design and architecture of the cloud-based BI and Analytics Lakehouse platform using Azure Databricks, DBT and other modern data warehousing technologies.
Create and maintain data models, ELT processes, and data pipelines to support enterprise reporting and analytics needs.
Establish best practices for data storage, processing, and accessibility within the Lakehouse.
Collaborate with data engineers to develop and maintain robust data pipelines, ensuring data quality, integrity, and timeliness.
Integrate data from various sources into the Lakehouse, including structured and unstructured data, and develop standardized and enriched data models to deliver analytical solutions.
Optimize performance, scalability, and cost-efficiency of cloud resources to ensure reliable and efficient data processing.
Collaborate with data analysts, data scientists, and other enterprise data professionals to advance the organization's data capabilities.
Provide technical guidance, support & mentoring for data-related projects across the organization.
Performance, Accessibility and Best Practices:
Implement and maintain data security protocols and ensure data privacy and compliance with policy & regulation.
Define access controls, encryption, and auditing for sensitive data.
Document architectural designs, data flows, and procedures for the Lakehouse.
Establish and enforce best practices for data management and governance.
Monitor and optimize the performance of the data architecture to meet the requirements of data analysts and data scientists.
Troubleshoot and resolve platform-related issues promptly.
Qualifications:
Bachelor's or Master's degree in Computer Science, Analytics, Engineering or a related field.
4+ years' proven professional experience as a Data Architect, Data Engineer, or similar roles.
Proficiency with leading cloud data platforms (Azure, GCP, AWS, Snowflake) and related data services.
Expert knowledge: Spark, Python, Scala, Hive, SQL
Experience with BI and Analytics tools, Power BI Premium is preferred.
Strong proficiency in data modeling fundamentals, ELT patterns, and data warehousing concepts.
Knowledge of data governance, security, and compliance standards.
Detail-oriented with strong problem-solving and communication skills.
Hybrid work: On-site 2-3 days per week.
Corporate Summary:
At Shamrock Foods Company, people come first - our associates, our customers, and the families we serve across the nation. A privately held, family-owned and -operated Forbes 500 company, Shamrock is an innovator in the food industry and has been since being founded in Arizona in 1922.
Our Mission: At Shamrock Foods Company, we live by our founding family's motto to "treat associates like family and customers like friends."
Why work for us?
Benefits are a major part of your overall compensation, and we believe offering them at an affordable cost is not only the right thing to do, but it helps keep you and your family healthy. That's why Shamrock Foods pays for the majority of your health insurance, allowing you to take home more of your paycheck. And it doesn't stop there - our associates also enjoy additional benefits such as 401(k) Savings Plan, Profit Sharing, Paid Time Off, as well as our incredible growth opportunities, continued education, wellness programs.
Equal Opportunity Employer
At Shamrock Foods Co all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity or any other basis protected by applicable law.
