GCP Data Architect

Job Title: GCP Data Architect Location: Pune, Bangalore, Hyderabad, Chennai, Vadodara Role Type: Permanent role Compensation: Upto 35 LPA Required Skills & Qualifications - 8+ years of experience in software engineering with at least 4 years in solution architecture. - Strong hands-on expertise in GCP, MongoDB, and Kafka. - Proficient in one or more programming languages (Java, Python, Go, Node.js). - Understanding of microservices, distributed systems, caching, messaging, and API best practices. - Experience in designing high-throughput, low-latency systems. - Familiarity with containerization (Docker) and orchestration (Kubernetes). - Excellent analytical, technical documentation, and communication skills Key Responsibilities Architecture & Design - Architect highly scalable, reliable, and secure cloud-native applications on GCP. - Define end-to-end solution architectures involving microservices, event-driven patterns, API ecosystems, and data pipelines. - Design MongoDB data models, indexing strategies, partitioning/sharding approaches, and performance optimization. - Architect Kafka-based streaming solutions including topic design, consumer group strategy, message serialization, and delivery semantics. - Ensure solutions follow best practices in scalability, resiliency, observability, security, and cost optimization. - Create architecture documents, sequence diagrams, logical/physical data models, and integration patterns. Hands-on Development - Develop and review code in languages such as Python, Java, Node.js, or Go. - Build microservices, APIs, data ingestion jobs, Kafka producers/consumers, and GCP-native applications. - Perform POCs and build reusable frameworks, utilities, and accelerators. - Support CI/CD pipeline development and automated test practices. - Conduct code reviews, troubleshoot performance issues, and mentor developers. Cloud Platform Expertise (GCP) - Strong knowledge of compute services (GKE, Cloud Run, GCE), storage (GCS), networking (VPC, Cloud Load Balancing), and IAM. - Experience with GCP data services such as BigQuery, Pub/Sub, Dataflow, Cloud Composer, Cloud Functions. - Optimize cloud workloads for performance and cost. - Design and implement observability Cloud Logging, Monitoring, APM. MongoDB Expertise - Schema design for document databases aligned with access patterns and performance goals. - Experience with MongoDB Atlas, replica sets, sharding, backup/restore, and cluster tuning. - Strong understanding of query optimization, aggregations, and schema evolution. Kafka Expertise - Experience with Kafka clusters (self-managed or Confluent Cloud). - Design and implement Kafka producers, consumers, stream processors. - Experience with Schema Registry, Connectors (Kafka Connect), KStreams/KSQL is a plus. - Tuning throughput, consumer lag handling, partition strategies, and ensuring high availability. Cross-functional Collaboration - Work with product managers, business analysts, developers, and QA engineers to translate requirements into technical solutions. - Provide technical leadership, mentoring, and architectural governance. - Drive architecture reviews, performance reviews, and security reviews. DevOps & Security - Experience in CI/CD tools (GitHub Actions, Jenkins, GitLab). - Knowledge of Terraform/Infrastructure-as-Code on GCP. - Implement secure coding practices, encryption, IAM, VPC design, secret management. - Perform threat modeling and ensure compliance with organizational standards.