Technical Architect

We are looking for a Technical Architect to lead the architecture of large-scale analytics, data, and SaaS platforms. This role requires deep experience in distributed systems, cloud-native architectures, data engineering, and high-volume computation systems. You will partner closely with engineering, product, platform, and data science teams to drive technical strategy and build scalable, reliable, and cost-efficient systems.
Responsibilities:
Own the end-to-end technical architecture for analytics and data-driven products.
Design scalable, fault-tolerant systems for large-scale computation and data processing.
Define architecture standards, reference designs, and best practices.
Choose the right technologies for storage, processing, analytics and ML workloads.
Architect high-throughput APIs, real-time and batch data pipelines.
Drive cloud-native, distributed architecture adoption (AWS + Kubernetes).
Ensure performance, reliability, security, and cost efficiency.
Guide engineering teams, provide technical leadership, and solve complex issues.
Lead benchmarking, capacity planning, and system performance initiatives.
Requirements:
Strong experience in distributed systems and SaaS architecture.
Deep knowledge of data platforms and analytics systems.
Hands-on expertise with: Kafka / PubSub / Kinesis, Data Lakes (S3/ADLS/GCS + Delta/Iceberg/Hudi), Snowflake / BigQuery / Redshift / ClickHouse, SQL and NoSQL databases (MySQL, Postgres, DynamoDB, HBase).
Strong AWS experience.
Expertise with Docker, Kubernetes, CI/CD and monitoring tools (CloudWatch, DataDog, Sentry).
Solid coding skills in Python or Go.
Strong understanding of API design, microservices and event-driven systems.
Experience with data modelling (OLAP, dimensional, event-based).
Exposure to ML/LLM pipelines or AI-powered systems is a strong plus.

Experience
7-9 yrs