Principal Data Architect

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.