Solutions Architect

该职位来源于猎聘 JOB PURPOSE: We are seeking a skilled Solutions Architect to join our new AI & Data Engineering team. You will be a key contributor in designing and building our new global Data Lakehouse on a modern Azure and Databricks stack. This is your chance to make a significant impact on our data landscape and help foster a data-driven culture in a company with immense scale and ambition. KEY RESPONSIBILITIES: As Solutions Architect, you will: Architect & Design: Design and develop scalable data products and solutions on the Azure and Databricks platform, adhering to established frameworks. Translate & Model: Convert business and analytics requirements into robust logical and physical data models, scalable data pipelines, and clean service interfaces. Build & Implement: Take a hands-on role in implementing data ingestion, transformation, and orchestration workflows using tools like Azure Data Factory, Databricks (Spark, Delta Lake), dbt, and Fivetran. Promote Best Practices: Apply and champion our standards for data modeling, ELT patterns, CI/CD, data testing, and observability within a modern DevOps culture. Govern & Secure: Partner with the Data Governance team to implement robust data lineage, cataloging, and security using tools like Unity Catalog and Microsoft Purview. Collaborate & Mentor: Work closely with data scientists, engineers, product owners, and business stakeholders to deliver cohesive solutions. Provide technical guidance and support to other engineers on the team. WHAT YOU NEED TO SUCCEED:

Preferred Qualifications

We are looking for a strategic thinker with a passion for hands-on innovation. You are an effective communicator who thrives on solving complex problems. Key Skills Solid experience in a data-focused role such as a Data Engineer, Data Scientist, or Data Analyst, with a demonstrated ability to design technical solutions. Hands-on expertise with the modern data stack, including Databricks, Spark, and Delta Lake. Demonstrable experience in data modeling (e.g., dimensional, Data Vault 2.0) and building scalable ETL/ELT pipelines. Proficiency with cloud data platforms, preferably Microsoft Azure. Experience with data transformation and quality tools (e.g., dbt, Great Expectations). Solid understanding of software engineering best practices, CI/CD, and Infrastructure as Code. Preferred Qualifications (Nice to Have) Certification in Azure or Databricks. Experience with data ingestion tools like Fivetran Familiarity with Data Mesh principles and data product management. Professional experience in data-intensive domains such as CPG, Retail, Supply Chain, or Manufacturing. LEADERSHIP:

PERSONAL MASTERY: Sets high standards for themselves. Has emotional intelligence to take feedback, manage mood and motivations, and build empathy for others. PASSION FOR HIGH PERFORMANCE: Generates intensity and focus to motivate people to deliver results at speed. Takes personal responsibility and accountability for execution and results. CONSUMER LOVE: Invests time inside and outside to understand the needs of consumers. BUSINESS ACUMEN: Creates sustainable growth with purpose, engaging different partners across the system for change.