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# Sr. Azure Data Engineer-Hybrid

- **Company:** Cognizant Technology Solutions Corporation
- **Location:** Washington, DC, United States
- **Experience:** Expert
- **Salary:** $92,000.0 - $110,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Cloud Computing Security, Cloud Engineering, Collaborative Software, Information Engineering, Software Design Patterns, Digital Architecture, Identity and Access Management, Key Management, Network Configuration and Change Management, Performance Tuning, Scrum Methodology, Azure Data Lake, Data Streaming, Data Logging, Real Time Systems, Azure Data Factory, Delivery Pipeline, Data Pipelines, Serverless Computing
- **Published:** August 4, 2026
- **Apply:** https://dejobs.org/x/x/B78229A5C6EB49EC847F97203654801B/job/

## About the Role

* Demonstrate deep hands-on experience with Azure Event Grid, Azure Functions, Azure Logic Apps, Azure Data Lake Store, Azure Key Vault, and Azure Data Factory, including design, deployment, and operational optimization in production environments
 * Apply strong knowledge of cloud security, data protection, and identity management to shape architectures that handle sensitive investment banking and brokerage data in a safe, compliant, and resilient manner
 * Utilize experience in investment banking operations or brokerage domains to understand trade lifecycles, settlements, reconciliations, and reporting so that technical solutions directly address business challenges
 * Employ advanced skills in data modeling, integration patterns, and performance tuning to ensure that large-scale data pipelines and event processing systems meet demanding service level expectations
 * Use excellent communication and stakeholder management capabilities to collaborate effectively with cross-functional teams, including business operations, risk, compliance, and technology delivery groups
 * Bring proven experience in hybrid work models and distributed collaboration tools to maintain productivity, knowledge sharing, and clear documentation across teams working in distributed settings.

## Description

* Design Azure-centric solution architectures that orchestrate Azure Event Grid, Azure Functions, Azure Logic Apps, Azure Data Lake Store, Azure Key Vault, and Azure Data Factory to deliver reliable event-driven integration patterns for complex banking workflows
 * Develop comprehensive end-to-end data processing pipelines that ingest, transform, and store high-volume investment banking and brokerage data in Azure Data Lake Store while ensuring scalability, performance, and operational resilience
 * Collaborate with product owners, business analysts, and engineering teams to translate investment banking operations requirements into technical blueprints that align with enterprise architecture standards and regulatory expectations
 * Optimize Azure Data Factory workflows, including mapping data flows and orchestrations, to reduce latency, improve throughput, and maintain consistent data quality across upstream and downstream systems
 * Configure and manage Azure Key Vault usage across applications to safeguard secrets, certificates, and encryption keys, and to support secure application integration for confidential financial information
 * Implement event-driven patterns using Azure Event Grid and Azure Functions to support near-real-time processing of trade events, settlements, and reconciliations with clear fault-handling and monitoring strategies
 * Guide application and data teams on integration with Azure Logic Apps for workflow automation and straight-through processing across trading platforms, market data feeds, and back-office systems
 * Establish standards for logging, monitoring, and alerting across Azure services, ensuring observability of data pipelines and event-driven functions and enabling timely response to incidents that could affect business operations
 * Evaluate existing architectures and recommend modernization strategies to move legacy data and integration workloads into Azure-native services while minimizing risk and downtime for critical investment banking processes
 * Document architecture decisions, design patterns, interface contracts, and security controls in a clear and accessible manner to support future audits, knowledge sharing, and continuous improvement across technology teams
 * Coordinate with security and risk stakeholders to validate that encryption, access controls, network configurations, and secret management within Azure adhere to internal policies and external regulatory frameworks for financial institutions
 * Mentor junior engineers and architects by reviewing solution designs, code implementations, and deployment pipelines, thereby reinforcing best practices in cloud architecture and data engineering
 * Participate in hybrid work model ceremonies, including design reviews, sprint planning, and architecture forums during day shifts, to ensure consistent communication and alignment across distributed teams, Intelligent, IoT-enabled products will soon result in the proliferation of data and disrupt virtually all industries. To be successful, both large and small companies must leverage IoT capabilities by designing modern products that fundamentally connect people with processes. Within Cognizant IOT, we engineer industry-aligned, IoT-enabled products that merge industry needs with human drivers. Our intelligent products will revolutionize experiences and result in exciting, transformative outcomes. Without human-centered thinking, connected products are just standalone things-but with it, our modern connected products facilitate a unified way of life enjoyed by all.


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