BI/Data Architect
Must Have Technical/Functional Skills
• 8-10 years of in-depth, hands-on knowledge and execution of foundational data architectures such as data warehouses, data modeling, data mining, ETL, and in-memory models.
• Proficient knowledge in modern data architecture supports advanced analytics including GCP - Dataproc, dataflow, Cloud Function, BigQuery, Composer, GKE, IA, Snowflake, Azure, etc.
• Good understanding of Data Lakehouse setup, Snowflake
• Knowledge in Marketing tech stack
• Architecting, Designing, developing, and testing of data ingestion pipelines, perform end to end automation of ETL process for various datasets that are being ingested into the big data platform.
Roles & Responsibilities
- Define strategy for Lakehouse architecture
- Foundational data analysis activities for Data Platform and data ingestion patterns
Architect will more closely with various TJX teams and primarily looks after below scope
• Lakehouse and other foundational data activities.
• Analyze and assess current landscape of various TJX data platforms and tools used
• Define strategy for Lakehouse architecture, data ingestion patterns considering a lake house sets, which would be the foundation for more advanced analytics, including AI and machine learning functionalities
• Assist in defining single unified version of data from multiple sources
• Define strategy for advance analytics leveraging real time streaming, data availability at single place and assist in accelerated innovation and near real time analytics
• Collaborate with cross-functional teams to understand Lakehouse needs and deliver solutions patterns
Education: Bachelors degree
Salary Range: $120000 - $150000 a year
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