Job Title

Location: Noida, Pune, Jaipur, Bangalore Experience: 11+ years Notice Period: Immediate to 30 days Qualification: B.Tech / M.Tech / BCA / MCA or any relevant technical field (candidates from premium institutes preferred) We are looking for a Principal Data Architect to lead the design and implementation of scalable, cloud-native data platforms for enterprise analytics and data-driven decision-making. This is a core data role with a strong focus on architecture, engineering, and governance. Key Responsibilities: Define end-to-end enterprise data architecture across ingestion, storage, transformation, governance, and analytics Design scalable, serverless-first data platforms on GCP (multi-cloud exposure is a plus) Drive Data Mesh adoption with domain-oriented data products, SLAs, and data contracts Architect batch and real-time data pipelines using Kafka, Pub/Sub, and CDC frameworks Lead data engineering practices using Dataflow, dbt, and Airflow with Lakehouse architecture (Medallion pattern) Design and optimize enterprise data warehouse solutions on BigQuery Guide data modeling approaches including Kimball, Data Vault, and Inmon methodologies Ensure data quality, governance, security, and compliance (including PII and regulatory standards) Provide foundational support for downstream advanced analytics (exposure to AI/ML is good to have) Mentor engineering teams and drive architectural best practices across the organization Key Skills: GCP stack: BigQuery, Dataflow, Pub/Sub, GCS Streaming: Apache Kafka, CDC tools (Debezium/Datastream) Data Engineering: dbt, Spark, Airflow Databases: Bigtable, MongoDB, Redis, PostgreSQL, Spanner Strong SQL and Python skills (Java/Scala is a plus) Experience with data governance, lineage, and observability tools This role is ideal for candidates with deep expertise in data architecture and engineering, looking to drive enterprise-scale data strategy.