Roles and Responsibilities:
- Lead the design and implementation of scalable data architecture and engineering solutions using Snowflake, DBT and SQL.
- Establish data integration and transformation patterns for ERP, POS, CRM, vendor and third-party data sources.
- Design trusted data structures and analytical models supporting retail use cases such as inventory, sales, pricing, promotions and omnichannel customer analytics.
- Partner with business and technology stakeholders to translate analytical requirements into maintainable data products and reporting solutions.
- Lead and mentor data engineers and analysts while setting standards for data modeling, transformation, documentation and delivery quality.
Skills Required:
- 10 - 14 years of experience in data engineering, data architecture or business intelligence, including leadership responsibility.
- Strong hands-on experience with Snowflake, DBT, SQL and ETL or ELT development.
- Expertise in data architecture, data warehousing, dimensional modeling and scalable cloud data platforms.
- Experience developing business intelligence solutions and semantic reporting models using Power BI.
- Ability to design reliable data pipelines, optimize warehouse workloads and support secure, high-volume analytical environments.
Good to Have:
- Experience with data governance and data quality practices in enterprise data environments.
Education:
Bachelor's or Master's degree in Computer Science, Information Systems, Engineering or a related discipline; B.Tech, M.Tech or dual-degree qualifications are acceptable.