Description

Job Description

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: Bachelor’s degree

Key Skills

Education

Any Graduate