Note: The job is a remote job and is open to candidates in USA. Avery Dennison is a global materials science and digital identification solutions company with a focus on innovation and data-integrated solutions. The Sr. Data Architect will architect, build, and scale AI and analytics platforms, automated pipelines, and decision intelligence engines. The role partners with data engineering teams to integrate retail data, productionize analytical models, and enable advanced insights and campaign measurement.
Responsibilities
- Platform Architecture & AI Enablement: Architect and implement scalable, cloud-native analytics platforms (Databricks, Snowflake) that enable direct self-service access to insights, predictive models, and GenAI-assisted analytics tools
- Engineering Collaboration & Technical Mentorship: Act as the hands-on bridge between business strategy and engineering teams, partnering closely with senior and junior data engineers to translate complex business rules into modular SQL/Python code, data models, and scalable platform services
- Decision Engine Development & Automation: Design, evolve, and automate measurement engines and algorithms that compute campaign performance (e.g., iROAS, Test vs. Control) against massive retail transaction datasets
- Multi-Source Data Integration: Author integration pipelines and data models that unify multi-retailer point-of-sale (POS) data, third-party syndicated datasets, and internal platform metrics into an integrated Analytics Data Warehouse
- Analytics Productization & Stack Optimization: Transform exploratory analytical models into production-ready analytical tools (e.g., Category Buyer Dynamics, predictive audience targeting) while continuously optimizing the cloud data warehousing and decision intelligence ecosystem
Skills
- • Education & Senior Experience: Bachelor's or Master's degree in Computer Science, Data Engineering, Business Analytics, Data Science, or related quantitative field, with 8+ years of progressive experience in data engineering, platform development, or analytics architecture (including 3+ years operating at a senior technical level)
- • Domain & Industry Knowledge: Strong background in CPG/Retail analytics, point-of-sale (POS) transactional data, campaign measurement methodologies (Test vs. Control), and strong knowledge and experience with digital in the Retail Media Network (RMN) space (in-store digital media, DOOH, ESL, etc.)
- • Platform & Technical Depth: Proven hands-on experience architecting and deploying analytics solutions on Databricks or Snowflake environments, with advanced proficiency in SQL, Python, database design, star/snowflake schema data modeling, ETL/ELT pipeline design, and API integration
- • AI & Production Coding: Strong familiarity and experience incorporating machine learning models, predictive algorithms, and AI tools into operational analytics workflows, with a demonstrated ability to write production code alongside data engineers
- • Leadership & Communication: Exceptional organizational, communication, and problem-solving skills, with a proven ability to lead technical execution across cross-functional teams and effectively communicate platform capabilities to non-technical business stakeholders
Benefits
- Inclusive Care: Access to our large network of medical and behavioral health professionals.
- 401(k) Savings Plan: Avery Dennison supports your retirement readiness financially through company contributions to the 401(k) Plan. You receive an automatic contribution of 3% of eligible pay (even if you contribute $0) plus a matching contribution of 50% on the first 7% of eligible pay you contribute.
- Healthcare Coverage: Avery Dennison offers healthcare and insurance options to support you and your family based on your personal needs.
- Paid Time Off: We offer a generous vacation program that varies based upon your experience and position within Avery Dennison.
- This is a remote position unless employee sits within a 40 mile radius of a Vestcom location then they will go onsite 2x a week.
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