GCP Data Architect with 13+yrs (Noida)

GCP Data Architect with 13+yrs (Noida)

14 Nov
|
kotat mahindra group
|
Noida

14 Nov

kotat mahindra group

Noida

GCP Data Architect (13+ Years Experience – Remote Chance) tailored for a technology consulting and IT services organization ( HCTPL) Job Title: Senior / Principal GCP Data Architect
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Experience:
13+ Years (Minimum 6–8+ years in Data Architecture & 4+ years hands-on with GCP)
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Location:
Remote (India / Global Delivery)
- Employment Type: Full-Time / Contract-to-Hire Role Summary We are seeking a seasoned GCP Data Architect with 13+ years of IT experience to lead the design, modernization, and governance of enterprise-scale cloud data platforms. In this remote leadership role, you will translate complex business requirements into scalable, secure, and cost-efficient data ecosystems on Google Cloud Platform while mentoring engineering teams.

Key Responsibilities
- Enterprise Data Architecture. Architect end-to-end batch and real-time data platforms using Google BigQuery, Dataflow, Pub/Sub, and Cloud Storage.
- Cloud Data Modernization. Lead legacy-to-cloud migration roadmaps from on-premises warehouses (Teradata, Oracle, Hadoop) or other cloud platforms into GCP.
- Data Modeling & Optimization. Design conceptual, logical, and physical data models. Enforce best practices for BigQuery partitioning, clustering, performance tuning, and FinOps cost optimization.
- Governance & Security. Define and implement enterprise data governance, data lineage, IAM policies, encryption, and compliance frameworks using Dataplex and Cloud DLP.
- Pipeline & DevOps Leadership. Oversee CI/CD automation, Infrastructure as Code (Terraform), and orchestration workflows via Cloud Composer (Apache Airflow).




- AI/ML Readiness. Collaborate with data science and AI teams to structure data lakes and feature stores supporting Vertex AI and GenAI workloads.
- Stakeholder & Team Mentorship. Act as a technical advisor to client leadership, conduct architecture reviews, and mentor senior data engineers. Required Skills & Qualifications
- Experience. 13+ years in data engineering, warehousing, and enterprise data architecture, with deep specialization in Google Cloud Platform.
- Core GCP Stack. Expert-level proficiency in BigQuery, Dataflow (Apache Beam), Cloud Composer, Pub/Sub, Dataproc, and Cloud Storage.
- Programming & Querying. Advanced proficiency in SQL and Python for data processing and automation.
- Data Warehousing & Modeling. Strong background in dimensional modeling (Kimball/Inmon), Data Vault, and modern lakehouse patterns.
- DevOps & IaC. Hands-on experience with Terraform, Git, CI/CD pipelines, and containerization (Docker/Kubernetes).
- Soft Skills. Exceptional client-facing communication, pre-sales/RFP solutioning support, and cross-functional leadership in a remote setup. Preferred / Good-to-Have
- Certifications. Google Cloud Certified – Professional Cloud Architect or Professional Data Engineer.
- Multi-Cloud / Modern Data Stack. Exposure to Snowflake, Databricks, dbt, or Apache Iceberg.
- Domain Knowledge. Prior experience in BFSI, Healthcare, Retail, or Telecom enterprise data transformations. Pay: ₹926,000.00
- ₹2,460,000.00 per year

Benefits:
- Work from home Work

Location:
Remote

📌 GCP Data Architect with 13+yrs (Noida)
🏢 kotat mahindra group
📍 Noida

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