Location: Noida, Pune, Jaipur, Bangalore
Experience: 12+ 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
- Own the end-to-end lifecycle of a live, customer-facing data platform, ensuring scalability, reliability, and continuous delivery.
- Demonstrated experience in handling production failures, driving root cause analysis, and implementing resilient architectures.
- Design scalable, serverless-first data platforms on GCP (multi-cloud exposure is a plus)
- Drive cost governance and optimization (FinOps), ensuring efficient resource utilization without compromising performance.
- 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.
