We are looking for a Senior Data & AI Platform Engineer with strong expertise in data architecture, database design, and scalable system development. The ideal candidate should have a deep understanding of data engineering concepts, modern data platforms, and the ability to design robust, scalable back-end systems and data pipelines.

Key responsibilities:

- Design and develop scalable back-end systems
- Define and implement data architecture and database design strategies
- Build and optimize data ingestion and transformation pipelines
- Develop and maintain unified data models across multiple systems
- Design end-to-end data flows and integration strategies
- Collaborate with cross-functional teams to ensure effective data handling and processing
- Ensure system scalability, performance, and reliability

Machine Learning & AI Integration

- Work closely with the AI/ML team to understand data requirements for model training, feature engineering, and pipeline development
- Prepare, validate, and deliver clean, structured data to support AI/ML systems and intelligent workflows
- Consume and integrate outputs from ML models into data pipelines and backend systems
- Maintain awareness of ML concepts to effectively collaborate with AI/analytics teams

Core Technical Skills

- Back-end & System Design
- Expertise in system scalability and performance optimization
- Solid understanding of distributed systems and back-end architecture
- Data Engineering Concepts (IMPORTANT)
- Strong knowledge of data modelling (OLTP vs OLAP)
- Strong knowledge of data lake architecture (primary) and data warehousing concepts
- Strong knowledge of REST APIs and API design (FastAPI / Flask / Django)

Core Platforms & Technologies (Required)

Strong working knowledge of:

- Relational databases - strong hands-on experience required (e.g. PostgreSQL, MS SQL Server, MySQL)
- Non-relational / NoSQL databases - working knowledge required (e.g. MongoDB, SQLite, TimescaleDB, Redis)




- Graph databases - understanding of graph data models (e.g. Apache AGE, Neo4j concepts)
- Comfortable working across multi-database environments - relational, time-series, graph, and cache layers in a single architecture

Good to Have: Hands-on experience with modern data tools such as Kafka, Airbyte, S3/ADLS, Snowflake, or similar platforms

Data Ingestion & Processing

Ability to design and implement:

- Data ingestion pipelines
- Data transformation layers (ETL/ELT)
- Unified and scalable data models
- System Thinking & Architecture

Ability to:

- Design scalable back-end architectures
- Define and manage data flow across systems
- Guide integration strategies between multiple services and platforms

Good to Have

- Experience with cloud platforms (AWS / GCP / Azure)
- Exposure to real-time data processing systems
- Knowledge of ML data pipelines or analytics workflows
- Experience using Python for data ingestion pipelines, transformation scripts, and automation workflows is an advantage

What We’re Looking For

- Passion for experimenting with new tools, frameworks, and ideas
- Ability to quickly prototype and iterate on features
- Interest in blending creativity with engineering
- Comfort working in less rigid, exploratory development environments
- Strong curiosity and self-learning mindset

Bonus Points If You

- Use AI-assisted coding tools (like GitHub Copilot, Cursor, Antigravity, Claude)
- Build side projects, prototypes, or experimental apps
- Enjoy rapid MVP development, or creative coding
- Stay updated with latest trends in AI, and developer tools

Requirements (Qualifications/Experience/Competencies)

Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, or a related field. A Master's degree in a relevant field is an advantage

5 - 7 years of experience

Ready to Join Us?

If you are passionate about building modern AI-powered products and enjoy working on innovative digital solutions, we would love to hear from you. Immediate joiners are preferred.

📌 Senior Data & AI Platform Engineer (India)
🏢 Times World Information Technology
📍 India