Software Architect (Data Engineering)

About Velotio:

Velotio Technologies is a product engineering company working with innovative startups and enterprises. We are a certified  and recognized as one of the best companies to work for in India. We have provided full-stack product development for 110+ startups across the globe building products in the cloud-native, data engineering, B2B SaaS, IoT & Machine Learning space. Our team of 400+ elite software engineers solves hard technical problems while transforming customer ideas into successful products.

We are looking for an experienced Software Architect with deep expertise in Data Engineering and proficiency in Ruby on Rails (RoR). The ideal candidate will lead architectural decisions, optimize data pipelines, and ensure scalable, efficient, and high-performance data processing solutions. While Data Engineering skills are the primary focus, RoR experience would be a valuable addition.

• 7+ years of experience in software development, with a focus on data engineering and cloud architectures.
• Strong experience with Snowflake, DBT, and Data Pipeline design.
• Expertise in Kafka, Argo, Kubernetes, and ML Flow.
• Deep understanding of AWS services, particularly Lambdas, Step Functions, Serverless, and SageMaker.
• Solid Python development skills for data engineering and backend services.
• Experience with Terraform for infrastructure automation.
• Strong architectural experience in designing scalable, fault-tolerant, and distributed systems.

Nice-to-Have (RoR Focused) Skills:

• Experience with Ruby on Rails (RoR) for API development and backend services.
• Familiarity with Sidekiq, MySQL, Redis, and performance tuning in a RoR environment.
• Understanding of CI/CD pipelines, DevOps best practices, and microservices architecture.

Responsibilities :

• Design and implement scalable, high-performance data architectures in cloud environments (AWS preferred).
• Drive best practices for data pipeline design, integration, and orchestration using technologies like DBT, Kafka, Argo, and Kubernetes.
• Define and implement data governance, security, and compliance best practices.
• Provide technical guidance on integrating MLFlow, SageMaker, and other AI/ML solutions into data pipelines.
• Build and maintain data pipelines using Snowflake, DBT, Kafka, and AWS serverless services (Lambdas, Step Functions).
• Ensure optimal performance, scalability, and cost-effectiveness of data workflows.
• Utilize Terraform for infrastructure as code to manage cloud environments efficiently.
• Work with Kubernetes for deploying, scaling, and managing applications.
• Develop and optimize data-driven applications leveraging Python.
• Collaborate with software teams to integrate data pipelines into RoR applications.
• Implement and optimize background job processing using Sidekiq, Redis, and MySQL.
• Ensure scalability, reliability, and maintainability of services.

• We have an autonomous and empowered work culture encouraging individuals to take ownership and grow quickly
• Flat hierarchy with fast decision making and a startup-oriented “get things done” culture
• A strong, fun & positive environment with regular celebrations of our success. We pride ourselves in creating an inclusive, diverse & authentic environment.

At Velotio, we embrace diversity. Inclusion is a priority for us, and we are eager to foster an environment where everyone feels valued. We welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation.