Job Summary

Data Architect - Bengaluru, Permanent, 10 to 12 years of experience.

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

Requirements

- 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)

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Architect (Bengaluru)
🏢 BCE Global Technology Centre
📍 Bengaluru