Principal Data Platform Architect

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.