Infinite Computer Solutions - Data Architect - Google Cloud Platform

Key Responsibilities :

- Define end-to-end data architecture and technology strategy for enterprise-scale GCP data platforms.

- Design cloud-native data solutions using BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and related GCP services.

- Establish architectural patterns for batch ingestion, real-time streaming, data transformation, and analytics.

- Define data modeling strategies, including conceptual, logical, and physical data models.

- Design scalable data warehousing and lakehouse-style architectures based on business and technical requirements.

- Drive architecture decisions around performance, availability, scalability, disaster recovery, and cost optimization.

- Establish standards for data quality, metadata management, data lineage, security, governance, and regulatory compliance.

- Guide engineering teams on architecture implementation, code quality, design patterns, and technology selection.

- Evaluate emerging GCP services and recommend appropriate tools and frameworks.

- Collaborate with business leaders, enterprise architects, security teams, and engineering stakeholders to translate business objectives into architecture blueprints.

- Review solution designs, identify architectural risks, and ensure alignment with enterprise architecture principles.

- Drive cloud modernization, platform optimization, and data engineering best practices.

Required Skills :

14-16 years of experience in data engineering, data architecture, cloud platforms, or related technology domains.

- Hands-on experience with GCP (BigQuery, Composer, Dataproc, Dataflow, Pub/Sub)

- Working knowledge of Databricks for data processing and pipelinesStrong programming skills in SQL and PySpark

- Experience with Oracle and SQL Server databases

- Understanding of data modelling (dimensional / medallion basics)

- Experience in batch pipelines and exposure to streamingFamiliarity with data ingestion, ETL/ELT processes

- Basic understanding of data quality and validationExposure to Airflow/Composer and scheduling

- Working knowledge of Git and CI/CD