You will oversee architecture across petabyte-scale datasets, mission-critical analytics workloads, architect and evolve the company’s enterprise-grade data foundation—powering analytics, machine learning, and AI transformation. Partnering with the Head of Data Science & Analytics, you’ll design scalable, governed, and intelligent data ecosystems that ensure reliable, timely insights and innovation readiness.
Responsibilities - Design and implement multi-layer data warehouse and lakehouse architectures for structured, semi-structured, and unstructured data.
- Build and maintain data flow diagrams, ER models, and lineage maps for end-to-end data flow transparency and traceability.
- Enable both real-time and batch data ingestion with low-latency, scalable design.
- Lead evaluation and integration of enterprise data and AI platforms (Databricks, Snowflake, AWS Redshift, BigQuery, Informatica, Talend, dbt, Apache NiFi, Airflow, SageMaker, MLf...