Key Responsibilities:

Data Engineering Architecture (Primary)
Design and build scalable data platforms, pipelines, and architectures
Define batch and streaming frameworks (Kafka, Pub/Sub, OpenShift/Kubernetes, GitLab CI/CD, ArgoCD, Optional - Spring Batch)
Establish data ingestion, transformation, and storage patterns
Design event-driven and real-time data solutions

Data Processing & Integration
Build real-time data pipelines and streaming integrations
Standardize data formats (Avro, JSON, Parquet) and connectors
Enable API-driven (optional) and event-based system integrations
Batch Processing, MongoDB, Redis, Helm Charts, Kibana /Elasticsearch, Artifactory

Data Quality & Governance
Ensure data quality, consistency, and reliability
Implement data validation, lineage, and traceability
Define failure handling and recovery strategies

Automation & Optimization
Drive automation using Python / Bash scripting




Continuously improve pipeline performance and scalability
GCS , Ingress / API Gateways, Enterprise Platform Services

Required Skills:
POD Leadership - Act as technical lead for the POD
Drive architecture decisions, design reviews, and best practices
Collaborate with data, platform, and product teams
Mentor engineers and build data engineering capability

Ensure smooth work progression (To Do In Progress
Done) and remove blockers
Streaming is of lower priority as we are migrating out of real-time for our monetization platforms.
Deploy data engineering GCP resources as code (IaaC)

What We Offer:
Competitive salaries and comprehensive health advantages.
Adaptable work hours options.
Professional development and training opportunities.
A supportive and inclusive work workplace.

📌 Data Architect Bengaluru
🏢 BCE Global Technology Centre
📍 Bengaluru