Data Architect

1. Data Architect (8+ years in data architecture)

Job Summary:

We are seeking a skilled Data Architect to lead the design and delivery of innovative, scalable data solutions that power our business. With deep expertise in Databricks and cloud platforms like Azure and AWS, you will architect high-performance data systems and drive impactful analytics. If you thrive on solving complex data challenges, this is your chance to shine.

Key Responsibilities:

• Design scalable data lakes, warehouses, and real-time streaming architectures.
• Build and optimize data pipelines and Delta Lake solutions using Databricks (Spark, Workflows, SQL Analytics).
• Develop cloud-native data platforms on Azure (Synapse, Data Factory, Data Lake) and AWS (Redshift, Glue, S3).
• Create and automate ETL/ELT workflows with Apache Spark, PySpark, and cloud tools.
• Design and implement robust data models (e.g., dimensional, normalized, star schemas) to support analytics and reporting.
• Leverage big data technologies (Hadoop, Kafka, Scala) for large-scale processing.
• Ensure data governance, security, and compliance with standards like GDPR and HIPAA.
• Optimize Spark workloads and storage for peak performance.
• Collaborate with engineering, analytics, and business teams to align data solutions with organizational goals.

Required Skills & Qualifications:

8+ years in data architecture, engineering, or analytics roles.

Hands-on experience with Databricks (Delta Lake, Spark, MLflow, pipelines).

Expertise in Azure (Synapse, Data Lake, Data Factory) and AWS (Redshift, S3, Glue).

Strong coding skills in SQL, Python OR Scala.

Experience with NoSQL (e.g., MongoDB), streaming (e.g., Kafka)

Knowledge of data governance and compliance best practices.

Excellent problem-solving and communication skills, with a knack for cross-team collaboration.

2. Senior Backend Developer (4-5 years' experience)

Industry: AI/Technology

Job Summary:

We are looking for a Senior Backend Developer to lead the design and implementation of our core agentic framework. This role is perfect for a highly skilled developer who is passionate about high-performance backend solutions, distributed systems, and API development.

As part of our team, you will work on cutting-edge AI architectures, developing advanced tools, agents, and scalable backend services that power next-generation AI-driven solutions.

Key Responsibilities:

• Architect & develop the core agentic framework with tools and agents.
• Build backend services for drag-and-drop modules and workflow scheduling.
• Provide boilerplates and development guidance for tools and agent creation.
• Implement caching strategies and optimize performance for complex workflows.
• Conduct code reviews, enforce best practices, and mentor junior developers.
• Ensure scalability, security, and reliability of backend systems using Kubernetes and cloud-native architectures.

Required Skills & Qualifications:

• 4-5 years of backend development experience, preferably in AI-based systems.
• Strong expertise in Python and FAST API for high-performance backend services.
• Experience with OpenAPI standards for API documentation.
• Proficiency in Kubernetes & GitOps for managing infrastructure as code.
• Deep understanding of PostgreSQL database management and Redis caching techniques.
• Hands-on experience with message queue systems like RabbitMQ, Celery.
• Familiarity with ELK stack for logging, monitoring, and debugging.
• Strong knowledge of workflow automation, microservices, and distributed computing.
• Ability to work independently while collaborating with cross-functional teams in a remote environment.

Preferred Skills (Good to Have):

• Experience in developing agentic AI architectures.
• Knowledge of serverless computing and event-driven architectures.
• Exposure to cloud platforms (AWS, Azure, or GCP) for scalable deployment.
• Familiarity with real-time data processing and AI model integration.

Why Join Us?

• Work on cutting-edge AI architectures and backend innovations.
• Opportunity to lead backend development and shape AI-driven solutions.
• Competitive salary, remote flexibility, and a collaborative work environment.