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Big Data Architect

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Job Title: Data Architect

We are seeking a highly skilled Data Architect to lead the design and implementation of our data infrastructure.

Key Responsibilities:

  • Design and optimize data pipelines that integrate various data sources to support business intelligence and advanced analytics.
  • Develop data models and data flows that enable personalized customer experiences and support omnichannel marketing and customer engagement.
  • Lead efforts to ensure data governance, data quality, and data security, adhering to compliance with regulations such as GDPR and CCPA.
  • Implement and maintain data warehousing solutions in Snowflake to handle large-scale data processing and analytics needs.
  • Optimize workflows to streamline data transformation and modeling processes.
  • Leverage Azure for cloud infrastructure, data storage, and real-time data analytics, while ensuring the architecture supports scalability and performance.
  • Collaborate with cross-functional teams, including data engineers, analysts, and business stakeholders, to ensure data architectures meet business needs.
  • Support both real-time and batch data integration, ensuring data is accessible for actionable insights and decision-making.

Requirements:

  • 4+ years of experience in Data Architecture or Data Engineering, with specific expertise in Snowflake, and Azure.
  • Strong understanding of data modeling, ETL/ELT processes, and modern data architecture frameworks.
  • Experience designing scalable data architectures for personalization and customer analytics across marketing, sales, and customer service domains.
  • Expertise with cloud data platforms (Azure preferred) and Big Data technologies for large-scale data processing.
  • Hands-on experience with Python for data engineering tasks and scripting.

Primary Skills:

  • Around 3+ years of hands-on experience in DBT, Snowflake, CICD, Python (nice to have), SQL.
  • Taking ownership of tasks.
  • Eager to learn, good communication skills, enthusiastic to upskill.