Job Title : Big Data Architect

Location : Gurgaon | Bangalore | Pune

Work Mode : Remote

Experience : 15+ Years (Minimum 5+ Years as a Big Data Architect)

Job Summary :

We are looking for an experienced Big Data Architect to lead the design and implementation of scalable enterprise data platforms and cloud-native analytics solutions. The ideal candidate will have extensive experience in enterprise data architecture, modern big data technologies, cloud platforms, and real-time data processing. You will play a key role in defining the organization's data strategy, enabling advanced analytics, and driving digital transformation initiatives.

Key Responsibilities :

- Design scalable enterprise data architectures aligned with Agile and SAFe methodologies.

- Architect enterprise-grade data platforms capable of processing high-volume and high-performance workloads.

- Design and implement modern Data Mesh architecture for decentralized data ownership and governance.

- Build and optimize real-time streaming solutions using technologies such as Apache Kafka and Apache Spark.

- Manage application deployment, containerization, and orchestration using Kubernetes.

- Implement DataOps practices to automate data engineering workflows and improve operational efficiency.

- Design and maintain CI/CD pipelines for data platform development and deployment.

- Define Architectural Runway, Non-Functional Requirements (NFRs), and enterprise architecture standards.

- Ensure security, governance, scalability, and performance are incorporated into all architectural designs.

- Collaborate with engineering, analytics, DevOps, and business teams to deliver scalable and reliable data solutions.

Required Skills & Experience :

- 15+ years of overall IT experience with at least 5+ years in a Big Data Architect role.

- Strong expertise in designing enterprise-scale Big Data and Analytics platforms.

- Hands-on experience with Data Products and distributed data processing systems.

- Experience implementing Data Mesh architecture and modern cloud-based data ecosystems.

- Strong knowledge of real-time streaming architectures.

- Hands-on experience with Kubernetes and container orchestration.

- Strong understanding of DataOps principles and automation practices.

- Experience designing and implementing CI/CD pipelines for data engineering projects.

- Knowledge of enterprise architecture frameworks such as TOGAF or Zachman.

- Excellent communication, leadership, stakeholder management, and problem-solving skills.

Core Technologies :

- AWS Cloud Services

- Microsoft Azure

- Azure Synapse Analytics

- Azure Databricks

- Azure Data Lake Storage (ADLS)

- Apache Kafka

- Apache Spark

- Kubernetes

- Apache NiFi

- SQL Server / SQL Data Warehouse / RDS

- Power BI & Reporting Analytics

- Enterprise Systems (BSS, OSS & Enterprise Support Systems)

Preferred Qualifications :

- Experience working in Agile and SAFe environments.

- Strong understanding of cloud-native architecture and enterprise integration patterns.

- Experience leading large-scale digital transformation or data modernization initiatives.

- Relevant cloud certifications in AWS, Azure, Kubernetes, or Big Data technologies are an added advantage.

If you're passionate about designing enterprise-scale data platforms and driving innovation through modern cloud and big data technologies, we'd love to hear from you.