Senior Data Architect

NR Consulting; Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

NR Consulting is seeking an experienced Data Engineer / Data Architect with 14–19 years and deep expertise in GCP and Scala. You will design scalable, secure, high‑performance data solutions and provide technical leadership across complex data initiatives.

Responsibilities include designing and implementing enterprise data platforms on GCP, building ETL/ELT pipelines, guiding architecture decisions, and mentoring engineering teams to ensure performance, security, and cost efficiency.

Qualifications

• 14–19 years of experience in Data Engineering or Data Architecture.
• Hands-on with GCP and Scala.
• Experience designing scalable data pipelines and data models.
• Proven leadership at Architect/Senior Architect level.
• Strong understanding of ETL/ELT, data warehousing concepts.

Responsibilities

• Design scalable data engineering solutions on GCP.
• Lead enterprise-grade data platforms and pipelines.
• Develop and optimize large-scale data processing with Scala.
• Collaborate with stakeholders to translate requirements into solutions.
• Drive modernization and migration of legacy data platforms to cloud.

Skills

GCP

Scala

Data Engineering

Data Architecture

ETL/ELT

Data modelling

Data warehousing

Cloud security

BigQuery

Dataflow

Dataproc

Pub/Sub

Cloud Storage

Composer

Apache Spark

Tools

CI/CD pipelines

DevOps practices

Job description

Locations: Gurgaon | Pune | Kolkata | Bangalore | Hyderabad | Chennai

Notice Period: Immediate Joiners Preferred

Role Overview

We are looking for an experienced Data Engineer / Data Architect with 14–19 years of experience and strong expertise in GCP and Scala. The candidate will be responsible for designing scalable, secure, and high-performance data solutions and providing technical leadership across enterprise data engineering initiatives.

Key Responsibilities

• Design and architect scalable, reliable, and high-performance data engineering solutions on GCP.
• Lead the development and implementation of enterprise-grade data platforms and pipelines.
• Develop and optimize large-scale data processing solutions using Scala.
• Work extensively with Google Cloud Platform (GCP) services to build modern data solutions.
• Define data architecture, data flow, integration patterns, and technical standards.
• Design robust ETL/ELT pipelines and data processing frameworks.
• Collaborate with business stakeholders, data scientists, analysts, and engineering teams to translate requirements into scalable technical solutions.
• Conduct technical evaluations and recommend appropriate GCP services and data technologies.
• Ensure solutions meet requirements related to performance, scalability, security, reliability, and cost optimization.
• Provide technical guidance and mentorship to data engineering teams.
• Review architecture and code to ensure adherence to engineering best practices.
• Identify and resolve complex technical and performance challenges.
• Drive modernization and migration of legacy data platforms to cloud-based architectures.
• Participate in architecture discussions, design reviews, and technology roadmaps.

Required Skills

• 14–19 years of experience in Data Engineering, Data Architecture, or related technology roles.
• Strong hands-on experience with GCP / Google Cloud Platform.
• Strong programming experience in Scala.
• Strong understanding of Data Engineering and Data Architecture principles.
• Expertise in designing and implementing scalable data pipelines and distributed data processing solutions.
• Strong knowledge of ETL/ELT, data integration, data modelling, and data warehousing concepts.
• Experience working with large-scale data processing and cloud-based data platforms.
• Strong understanding of cloud architecture, scalability, security, and performance optimization.
• Excellent problem-solving, communication, and stakeholder-management skills.
• Proven experience providing technical leadership at an Architect/Senior Architect level.

Preferred Skills

• Experience with GCP data services such as BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Composer.
• Experience with Apache Spark and distributed data processing.
• Knowledge of data lake, data warehouse, and modern cloud data architecture patterns.
• Experience with CI/CD, DevOps, and cloud security practices.
• Experience in cloud migration and modernization projects.