- Design and optimize data pipelines that integrate various data sources (1st party, 3rd party, operational) 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.

- Continuously assess and integrate new data technologies and methodologies to enhance the organizations data capabilities.

Qualifications :

- 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 exp: