Senior AI & Analytics Platform Architect

Socket.dev

Little Rock (AR)

Hybrid

USD 119,000 - 178,000

Full time

4 days ago
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Benefits offered by this job

401(k) Savings Plan
Healthcare Coverage
Paid Time Off

Job summary

Avery Dennison is seeking a Sr. Data Architect - AI & Analytics Platforms to design scalable, cloud-native analytics platforms and automated pipelines. You will work closely with data engineers to turn business rules and AI models into robust data products and production pipelines.

The role emphasizes platform development, multi-source data integration, and measurable impact on campaign performance. Remote collaboration is possible, with hybrid onsite requirements based on location, including

Qualifications

  • Bachelor’s or Master’s degree in CS/Data field with 8+ years in data engineering, platform development, or analytics architecture (3+ years senior).
  • Strong domain knowledge in CPG/Retail analytics and RMN space.
  • Proven hands-on experience with Databricks or Snowflake, SQL, Python, data modeling, ETL/ELT, and API integration.

Responsibilities

  • Architect scalable cloud-native analytics platforms enabling self-serve insights and GenAI-enabled analytics.
  • Mentor engineers and translate business rules into modular SQL/Python code and data models.
  • Design automated measurement engines to compute campaign performance on large retail datasets.
  • Integrate multi-retailer POS data and external datasets into a unified Analytics Data Warehouse.
  • Productize analytics models into production tools and optimize cloud warehousing.

Skills

Databricks
Snowflake
SQL
Python
Data modeling
ETL/ELT
APIs
ML models

Education

Bachelors or Masters in CS/Data Eng/Analytics

Tools

Databricks
Snowflake
SQL databases

Job description

Avery Dennison is seeking a Sr. Data Architect - AI & Analytics Platforms to design scalable, cloud-native analytics platforms and automated pipelines. You will work closely with data engineers to turn business rules and AI models into robust data products and production pipelines.

The role emphasizes platform development, multi-source data integration, and measurable impact on campaign performance. Remote collaboration is possible, with hybrid onsite requirements based on location, including

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