Clearwater Analytics

Senior Software Engineer – Market Data

Team:Beacon Risk & Pricing Platform Level:Senior Location:Mumbai, Noida

About Beacon Platform by CWAN

Beacon is a cloud-native, cross-asset risk analytics and quantitative development platform used bytop-tier asset managers and banks It provides a transparent, extensible environment for building, deploying, and scaling valuation models, pricing libraries, and risk analytics across asset classes — including derivatives, structured products and fixed income — combining pre-built financial applications with a flexible developer infrastructure that enables quants and model developers to write custom pricing and valuation logic, run scenario analysis, and integrate models directly into front-office and risk workflows, all without the constraints of legacy systems.

We are looking for a Senior Software Engineer to join theMarket Data Team supporting theBeacon Risk & Pricing Platform — the industry's leading real-time risk analytics and pricing solution trusted by the world's largest asset managers and insurers. You will design, build, andoperatethe market data pipelines that power Beacon's pricing and risk engines. Working closely with quant researchers, riskmodellers, and platform engineers across our nimble, globally distributed team, you will ensure market data is sourced, ingested, and stored with accuracy, completeness, and timeliness.

This is a high-ownership role where you will leverage cutting-edge, Python-based cloud-native technologies to make architectural decisions that directly shape how Clearwater consumes,normalizes, and stores market data at scale, with real consequences for the pricing models and portfolios we serve.

What You'll Do

Market Data Pipelines

• Design and build scalable Python-based ETL/ELT pipelines ingesting multi-asset market data (equities, fixed income, derivatives, FX, commodities) frommultiplemarket datavendors

• Build, Enhance and Supportdata feeds usinghome ground data ingestion frameworksin Python

• Architect cloud-native,multi-tenantdata infrastructure on AWS (S3, MongoDB,ElastiCache).

• Implement data quality frameworks — completeness checks, anomaly detection, stale-data alerting, and automated reconciliation against authoritative vendor sources.

Collaboration & Leadership

• Partner with quantitative analysts and risk engineers to translate data requirements into reliable, production-grade pipelines.

• Define and document data contracts, SLAs, and lineage so downstream pricing and risk models can trust the data they consume.

• Collaborate withglobal teams,conduct code reviews, and champion engineering best practices across the teams

• Engage directly with external data vendors on API integrations, licensing, entitlement management, and data quality escalations.

• Respond to client queries on market data,troubleshootingand resolving data issuesin a timely manner, escalating to vendors where necessary.

What You'll Bring

Required

• 7+ years ofhands-onsoftware engineering experience, with at least 4yearsbuilding production data pipelines in Python (Pandas,PySpark,asyncio, or equivalent).

• Deep hands-on experience with AWS data services: S3, Glue, Lambda, Kinesis / MSK, Redshift, RDS.

• Experience designing and implementing REST APIs for data distribution, including versioning, authentication, and rate-limiting for high-throughput financial data consumers.

• Strong understanding of market data domains — pricing, corporate actions, identifier mapping, instrument reference data — froma financialservices or fintech context.

• Proficiencyin SQL and data modelling for analytical and operational workloads.

• Familiarity with data quality patterns: schema validation, reconciliation, SLA monitoring, dead-letter queues, and alerting.

• Strong communicationskills — you write clear design docs, run productive tech discussions, and collaborate across disciplinesand ability to work in a global teamenvironment.

• Degree (B.TechM.Tech MCA) incomputer science oranengineeringfield

Preferred

• Priorintegration with major market data vendors (Bloomberg, Refinitiv/LSEG Elektron, ICE Data Services).

• Knowledge of Apache Airflow or similar workflow orchestration tools.

• Experience with Apache Iceberg, Delta Lake, or other open table formats for data lake management.

• AWS Professional or Specialty certifications (Data Analytics, Solutions Architect).

Skillsat a Glance

Highly Experienced in Python · Market Data Pipelines · Reference Data & Securities Master · AWS (S3, Lambda, Glue, EMR,ElastiCache)MongoDB·Cloud-Native Data Architecture · Streaming & Event-Driven Systems · Data Quality & Reconciliation · ETL/ELT Frameworks · SQL & Data Modelling.