Hiring: Principal Data Engineer

Experience: 7 plus years

Location: Gurugram / Dehradun

Employment Type: Full time

Job Summary

We are looking for an experienced Principal Data Engineer / Data Architect with strong hands-on expertise in Google Cloud Platform (GCP) and Microsoft Azure to design and drive enterprise-scale data engineering and analytics solutions.

The ideal candidate should have experience in cloud data architecture, data warehousing, modern data platforms, Data Mesh, Data Governance and large-scale data integration.

Key Responsibilities

- Design and drive end-to-end data architecture and analytics solutions across GCP and Azure.
- Develop scalable data platforms and enterprise data models.
- Design and implement data ingestion, processing and orchestration pipelines.
- Work with BigQuery, Dataflow, Dataproc, Cloud Storage and other cloud-native services.
- Drive Data Mesh, Data Fabric, Data Products and Data Contracts implementation.
- Establish data governance, data quality, metadata management and data observability practices.
- Provide technical leadership and mentorship to data engineering teams.
- Drive cloud infrastructure design, provisioning and optimization.
- Collaborate with business stakeholders and senior leadership on data strategy.
- Participate in solution design, technical discussions, pre-sales engagements and POCs.

Mandatory Skills




- 12+ years of experience in Data Engineering / Data Architecture.
- Strong hands-on experience with GCP and Azure cloud platforms.
- Expertise in GCP services: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage and Cloud Composer.
- Knowledge of Azure data and analytics services.
- Strong programming skills in Python, SQL and Spark.
- Experience with enterprise data warehousing and data modelling (Star Schema, Snowflake Schema, Data Vault and Relational Models).
- Strong understanding of Data Mesh, Data Fabric and Data Products.
- Experience in Data Governance, Data Quality, Metadata Management and Data Observability.
- Hands-on experience with Terraform, CI/CD, GitHub Actions and DataOps / DevOps.

Good to Have
- Kafka and event-driven architecture.
- Exposure to GenAI, AI/ML and Vertex AI.
- Knowledge of GKE, IAM, VPC, VPN and cloud security.
- Experience with transactional, time-series and unstructured datasets.
- GCP Professional Data Engineer / Azure certifications.

Desired Candidate Profile
- Strong technical and architectural capabilities.
- Experience designing and delivering enterprise-scale cloud data solutions.
- Ability to work with senior stakeholders and cross-functional teams.
- Excellent communication, problem-solving and technical leadership skills.
- Should be hands-on with emerging cloud technologies and data engineering practices.

📌 Principal Data Engineer (Gurugram)
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