Senior Architect

This role is for one of the Weekday's clients

Salary range: Rs 3000000 - Rs 4500000 (ie INR 30 - 45 LPA)

Min Experience: 10+ years

Location: Hyderabad, Telangana, India
JobType: full-time

We are seeking an experienced Senior Architect to define and own the architectural patterns for a modern enterprise data ingestion and integration platform. The role will focus on designing scalable batch and streaming frameworks that enable reliable, governed, and high-performance movement of data from source systems into a cloud-based Lakehouse environment.

You will work across architecture, engineering, data platform, governance, and SRE teams to establish technical standards, drive platform modernization, and ensure end-to-end architectural consistency. This role offers an opportunity to influence large-scale distributed systems, cloud-native data platforms, real-time streaming, and emerging AI-driven data capabilities.

Requirements

Key Responsibilities

Architecture & Technical Leadership

• Define and own reference architectures for enterprise-scale batch and streaming data ingestion frameworks.
• Design scalable, resilient, and high-throughput architectures for moving data from source systems into modern Lakehouse platforms.
• Establish technical standards and architectural patterns for event-driven and near real-time data pipelines.
• Evaluate emerging technologies and recommend appropriate platform investments and modernization strategies.
• Lead architecture reviews, design discussions, technical evaluations, and architecture governance processes.
• Make critical architectural decisions while balancing scalability, reliability, performance, security, cost, and maintainability.
• Mentor engineers and architects and help raise the overall technical and architectural maturity of the organization.

Data Platform Architecture

• Design and evolve modern Lakehouse architectures for enterprise data platforms.
• Define patterns around Delta Lake, data products, metadata, governance, and scalable data integration.
• Architect batch and real-time ingestion pipelines supporting diverse data sources and consumers.
• Ensure data platforms are designed for reliability, scalability, security, and efficient downstream consumption.
• Establish architectural patterns for integrating data across analytics, applications, AI systems, and other enterprise consumers.

Streaming & Distributed Systems

• Design high-throughput, event-driven architectures for near real-time data processing.
• Develop architectural standards around Kafka, Redis, CDC, and streaming frameworks.
• Define patterns for reliable event processing, data movement, fault tolerance, scalability, and recovery.
• Ensure streaming platforms meet enterprise performance, availability, and reliability requirements.

Cloud & Infrastructure Architecture

• Design cloud-native data platform architectures using Microsoft Azure and related services.
• Establish patterns for services such as Azure Data Factory, Event Hubs, Blob Storage, ADLS Gen2, and Azure DevOps.
• Define and standardize Infrastructure as Code (IaC) practices using Terraform or comparable technologies.
• Establish repeatable, governed infrastructure deployment and configuration standards.
• Partner with engineering and DevOps teams to improve CI/CD, automation, and platform reliability.

Reliability & Governance

• Partner with SRE teams to define and implement appropriate SLAs, SLOs, observability, and reliability standards for data infrastructure.
• Ensure architectural designs incorporate monitoring, alerting, resiliency, security, and operational readiness.
• Collaborate with governance and platform teams to ensure data ingestion follows enterprise security, compliance, and governance standards.
• Identify architectural risks and proactively develop mitigation strategies.

AI & Emerging Technologies

• Explore and architect AI capabilities that improve the efficiency, intelligence, and optimization of data ingestion platforms.
• Design data infrastructure patterns that support AI, machine learning, and intelligent automation use cases.
• Evaluate emerging technologies and determine their applicability to enterprise data platforms.
• Enable scalable data architectures capable of supporting evolving AI and analytics requirements.

Requirements

Must-Have Skills

• 7+ years of experience in systems engineering, solution architecture, or technical architecture, w