Key highlights of the role are listed below (purely indicative and not limiting):

- Design, build, and completely own scalable data models and resilient data infrastructure optimized for modern cloud data environments (evaluating GCP and AWS).
- Develop and maintain reliable ELT pipelines to transform, curate, and enrich large-scale credit card datasets starting immediately from the post-landing stage
- Lead the end-to-end logical and physical data modeling strategy for the analytics datamart across Bronze, Silver, and Gold operational frameworks
- Provide technical governance over cloud architecture selection (GCP vs. AWS evaluation), guaranteeing compliance with data localization mandate
- Establish security boundaries including VPC controls, row/column-level access management, and automated PII masking frameworks
- Lead Insights to translate raw data into active strategies, tracing transition matrices across different verticals

Applicants should possess the following attributes:

- Solid,



expert-level understanding of database internals, query execution plans, performance optimization, and large-scale data modeling concepts (Star/Snowflake, conformed dimensions).
- Exceptional capacity to synthesize complex technical data structures into executive-level, non-technical strategic business briefs.
- Expertise in credit card or retail lending data architectures (delinquency aging buckets, provisioning logic, risk personas).
- Programming & Modeling: Robust hands-on mastery of Python & SQL
- Transformation & Orchestration: Production-grade expertise using dbt (Data Build Tool) and Apache Airflow to manage complex, multi-layered dependency DAGs
- Cloud Ecosystems (GCP or AWS compatibility):

GCP Ecosystem: BigQuery, Cloud Storage, Dataflow, Cloud Composer, Cloud DLP.

AWS Ecosystem: Amazon Redshift, S3, AWS Glue, Managed Airflow (MWAA), AWS Macie.

📌 AVP/Sr. Manager : Data Strategy & Insights (Analytics) (Maharashtra)
🏢 BOBCARD
📍 Maharashtra