Job Title : GCP Data Architect
Location : Bangalore
Job Summary :
We are seeking a highly skilled GCP Data Architect with extensive experience in architecting and implementing large-scale, cloud-native data solutions. The ideal candidate will have strong expertise in Google Cloud Platform (GCP), data modeling, data governance, ETL / ELT pipelines, and advanced analytics ecosystems. This role involves designing enterprise-grade data platforms that power business intelligence, AI / ML, and real-time decision-making across structured, semi-structured, and unstructured datasets.
Key Responsibilities :
Enterprise Data Architecture & Modeling :
- Design end-to-end data architecture frameworks on GCP to support enterprise data strategy.
- Develop logical, physical, and canonical data models supporting OLTP, OLAP, and streaming workloads.
- Ensure scalability, security, and performance alignment with business use cases.
Data Integration & Pipelines :
Architect and implement ETL / ELT pipelines using Cloud Dataflow, Apache Beam, Dataproc, and Composer (Airflow).Enable real-time and batch data ingestion using Pub / Sub, Kafka, or equivalent.Optimize data pipeline orchestration and reliability for mission-critical workloads.Data Warehousing & Analytics :
Design, implement, and optimize data lakes and warehouses leveraging BigQuery, Cloud Storage, and Dataform.Develop partitioning, clustering, and materialized views to improve query performance and cost efficiency.Integrate GCP solutions with BI tools (e.g., Looker, Tableau, Power BI).Cloud Migration & Modernization :
Lead migration of legacy data platforms to GCP, ensuring minimal downtime and high availability.Re-engineer monolithic data systems into cloud-native, microservices-driven architectures.Performance & Optimization :
Perform SQL query tuning, indexing strategies, and workload management for high-performance data solutions.Conduct capacity planning, monitoring, and auto-scaling to ensure SLA compliance.Data Governance, Security & Compliance :
Implement data governance frameworks, metadata management, and data catalogs (Data Catalog, Collibra, or equivalent).Ensure compliance with GDPR, HIPAA, SOC 2, or RBI guidelines for financial data.Enforce IAM roles, VPC Service Controls, encryption (KMS), and DLP policies for secure data handling.Collaboration & Leadership :
Partner with business stakeholders, product teams, and data scientists to translate analytical needs into scalable architectures.Provide technical leadership, mentorship, and best practices to data engineers and developers.Qualifications :
Education : Bachelors or Masters degree in Computer Science, Information Technology, Data Engineering, or related field.
Experience : 8+ years in data architecture, with at least 3+ years on GCP ecosystem.
Proven track record in :
Big Data technologies (Hadoop, Spark, Kafka, Flink).Cloud-native services (BigQuery, Dataflow, Dataproc, Pub / Sub, Composer).Databases : Proficiency in both SQL (PostgreSQL, MySQL, Oracle) and NoSQL (MongoDB, Cassandra, Firestore).ETL / ELT tools : Informatica, Talend, dbt, or equivalent.Strong expertise in data modeling, data warehousing, and data migration strategies.Hands-on with DevOps practices CI / CD pipelines (Cloud Build, Jenkins, GitLab), Infrastructure as Code (Terraform, Deployment Manager).Excellent problem-solving, stakeholder management, and communication skills.Preferred Skills & Certifications :
Certifications :
Google Cloud Professional Data Engineer / Cloud Architect.AWS or Azure certifications (multi-cloud exposure preferred).Knowledge of machine learning pipelines (Vertex AI, TensorFlow Extended).Familiarity with containerization and orchestration (Docker, Kubernetes, GKE).Experience with data governance tools like Collibra, Alation, or Atlan.(ref : hirist.tech)
