- Location
- Bangalore, India
- Type
- Full-time
- Department
- Engineering
- Experience
- 8+ years
- Closing date
- Today
- Source
- Workday
Description
If you are looking for a meaningful career where people work and act with passion, rethink the existing and always strive to find the best solution - you have come to the right place. We develop future technologies to relentlessly make supply chains better.
We are a leader in supply chain software solutions, helping organizations streamline operations, reduce costs, and improve efficiency.
Job Summary:
Infios is looking for a Data Science Architect to design and deliver scalable analytics, insights, and dashboarding capabilities for our Order Management System (OMS) platform. This role focuses on building data models, analytics pipelines, and operational intelligence that provide visibility into order lifecycle, fulfillment performance, inventory availability, and operational exceptions.
The ideal candidate combines strong expertise in data architecture, analytics, and business intelligence, with a deep understanding of Order Management Systems (OMS).
What a Day in the Life Looks Like:
- Architect analytics solutions that provide end-to-end visibility into the OMS order lifecycle.
- Design scalable data models and semantic layers for OMS entities such as orders, inventory, fulfillment nodes, shipments, and exceptions.
- Design and optimize data pipelines that capture operational events and transform them into analytical datasets.
- Work with event-driven data ingestion pipelines leveraging MongoDB Change Streams, Kafka, and cloud ETL frameworks.
- Define and optimize data transformations and analytics workflows using AWS Glue and Redshift.
- Build operational dashboards and insights for order processing, fulfillment performance, inventory availability, and SLA adherence.
- Partner with product, engineering, and operations teams to translate business questions into dashboards, metrics, and analytical insights.
- Enable self-service analytics by defining consistent metrics, governance standards, and reusable data models.
- Identify patterns, anomalies, and operational bottlenecks in OMS data to drive data-driven operational improvements.
- Champion AI-augmented engineering practices, leveraging tools such as Claude Code, Kiro, and similar AI development assistants to improve developer productivity, accelerate analytics development, and enforce high-quality engineering standards.
What You Bring to the Team:
- 8+ years of experience in data analytics, BI, data science, or analytics architecture.
- Strong expertise in SQL and data modeling for analytical systems.
- Experience designing data pipelines for operational analytics.
- Experience working with streaming or event-driven data architectures.
- Experience with cloud data platforms and modern data warehouses.
- Experience building dashboards using Power BI or similar BI platforms.
Preferred Qualifications
- Experience with MongoDB Change Streams.
- Experience with Kafka or other event streaming platforms.
- Experience with AWS Glue or similar ETL frameworks.
- Experience with Amazon Redshift or modern analytical warehouses.
- Experience with Power BI or equivalent BI tools.
- Experience with OMS, supply chain, retail, or e-commerce platforms.
- Experience using AI-assisted development tools (e.g., Claude Code, Kiro, GitHub Copilot, or similar) to accelerate data engineering, analytics, or software development workflows.
Impact
- This role will enable the OMS platform to deliver real-time operational intelligence, helping organizations improve fulfillment efficiency, detect operational issues earlier, optimize inventory utilization, and deliver better customer experiences.
Why join us?
At Infios, we're not just looking for employees; we're looking for partners in innovation, growth, and purpose. Meeting you where you are to create the future you need is at the core of who we are and what we do. Whether you're at the beginning of your career or a seasoned expert, we meet you on your journey, equipping you with the tools and opportunities to build the future you envision. Together, we will relentlessly work toward one common goal - making supply chains better.
We believe the future is better when supply chains work better.
We are an equal-opportunity employer and committed to inclusion in the workplace.
At Infios, we believe that inclusion is a fundamental cornerstone of our success. We are committed to creating a safe and welcoming environment where every individual’s unique experiences and perspectives are valued—whether they look, think, move, believe, or love differently.
All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, national origin, sex, sexual orientation, gender identity, marital status, pregnancy, religion, age, disability, veteran status, genetic information, or any other characteristic protected by law.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this role. If you require assistance or accommodation due to a disability during the recruiting process, please let us know at [email protected]
Disclaimer: This job advertisement is not designed to cover a comprehensive listing of all duties or responsibilities that are required for this job. Please note that any salary information is a general guideline only. Individual compensation will be determined by various factors such as the scope and responsibilities of the position, experience, education, skills, location, and market and business considerations. Applications must be submitted via our career site.
