Technical Architect – Data & Analytics / SaaS Job Overview

We are looking for an experienced Technical Architect to lead the design and evolution of large-scale, data-driven SaaS and analytics platforms. The role will focus on designing scalable, resilient, and cost-efficient architectures capable of handling high-volume data processing, complex computations, and real-time analytics. The ideal candidate should have strong expertise in distributed systems, data platforms, cloud architecture, and scalable SaaS solutions, with hands-on experience designing enterprise-grade solutions on AWS.

Key Responsibilities Design and evolve scalable architectures for large-scale SaaS, analytics, and data-driven platforms.

Define architecture for high-volume data processing, complex computations, and real-time analytics.

Design and implement distributed systems, microservices, and event-driven architectures.

Work closely with engineering, data engineering, data science, product, and platform teams to translate business requirements into scalable technical solutions.

Define technology architecture, system components, integration patterns, and data flows.

Evaluate technologies and architectural approaches based on scalability, performance, reliability, security, and cost.

Design data pipelines and architectures supporting batch and real-time data processing.

Provide technical leadership and architectural guidance to engineering teams.

Ensure systems meet scalability, availability, performance, and reliability requirements.

Create and maintain Architecture Views, Technology Architecture Blueprints, Design Specifications, and technical documentation.

Identify architectural risks, dependencies, performance bottlenecks, and opportunities for optimization.

Drive architectural best practices across development and platform teams.





Required Skills & Experience

Strong experience in Technical Architecture, Solution Architecture, or Software Architecture.

Solid expertise in Distributed Systems and SaaS Architecture.

Deep knowledge of Data Platforms and Analytics Architecture.

Strong understanding of large-scale data processing and real-time analytics.

Hands-on experience with one or more messaging/streaming platforms:

Apache Kafka

AWS Kinesis

Google Pub/Sub

Experience with Data Lake technologies such as:

AWS S3

Azure Data Lake Storage (ADLS)

Google Cloud Storage (GCS)

Delta Lake / Apache Iceberg / Apache Hudi

Experience with columnar/analytical databases such as:

BigQuery

Amazon Redshift

Snowflake

ClickHouse

Strong knowledge of relational and NoSQL databases such as:

MySQL

PostgreSQL

DynamoDB

HBase

Experience with Apache Spark and large-scale data processing.

Solid hands-on experience with AWS Cloud and its data/compute services.

Strong understanding of Microservices, Event-Driven Architecture, APIs, and Cloud-Native Architecture.

Experience designing systems for high availability, scalability, reliability, and performance.

Strong technical documentation and architecture visualization skills.

Preferred

Skills

Experience working with large-scale analytics or data-intensive SaaS products.

Experience with high-throughput and low-latency systems.

Knowledge of cloud-native architecture and containerized environments.

Experience with performance optimization and cloud cost optimization.

Solid stakeholder management and communication skills.

Ability to provide technical leadership and mentor engineering teams. Experience

10+ years of experience in software/solution architecture, distributed systems, data engineering, cloud architecture, or related areas, with significant experience designing large-scale enterprise platforms.

📌 Technical Architect (Bengaluru)
🏢 One75mb Hrm
📍 Bengaluru