Senior Data Architect

Experience:** 14–19 Years

**Level:** Architect / Senior Architect

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

**Notice Period:** Immediate Joiners Preferred

**Education:** BE/B.Tech / MCA / M.Tech

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.

* Exposure to Agile development methodologies.