Software Architect (Data)

We are looking for a motivated Data Architect willing to operate in production support. If you like to dig into complex systems and are great at troubleshooting, you are exactly who we're looking for.

We don’t just follow trends—we help define them. For 25+ years, Exadel has transformed global enterprises. Now, we’re leading the charge in AI-driven solutions that scale with impact. And it’s our people who make it happen—driven, collaborative, and always learning.

You will work with the 6th-largest privately owned organization in the United States. The сustomer is one of the "Big Four" accounting organizations and the largest professional services network in the world in terms of revenue and number of professionals. The company provides audit, tax, consulting, enterprise risk, and financial advisory services to 263,900 professionals globally.

SQL Server, Data architecture and modeling, Azure data solutions (synapse, integration pipelines, data lakes), C#. .NET & .NET Core, VSTS/Azure DevOps, Power BI, container-hosted solutions

• 8+ years of technology background in enterprises or web-scale product companies
• 4+ years of hands-on experience in database, data lake design, architectures, modeling, and cloud computing design, implementation, and/or support
• Proven hands-on experience delivering enterprise systems on the Microsoft stack: .NET Core, Azure, Azure Service Bus, AKS, Azure DevOps, Azure Functions
• Exposure to Azure data solutions like Azure Synapse and Data Lake
• Deep understanding of distributed state, consistency models (eventual, strong, session), and real-world latency/failure tradeoffs
• Demonstrated ability to implement scalable real-time systems and dashboards with production-grade performance
• Strong grasp of messaging systems, caching strategies, and hybrid consistency architectures
• Ability to make design decisions grounded in system internals - not just GUI-level configuration
• Understanding of Object-Oriented Concepts
• Experience in troubleshooting and solutioning issues related to performance in scenarios with extremely large datasets
• Experience in troubleshooting and solutioning issues related to data integrity across services with extremely high number of transactions
• Comprehensive understanding and/or experience with monitoring and reporting capabilities on Azure cloud
• Ability to communicate clearly with US counterparts

Advanced

• Architect and implement highly scalable microservices using Azure-native services (e.g., Azure Service Bus, Event Hubs, Cosmos DB, Azure SQL, Azure API Management)
• Apply distributed systems principles including partitioning, consistent hashing, and CAP theorem tradeoffs to build resilient, highly available systems
• Design real-time dashboards and analytics pipelines to deliver up-to-the-moment insight across transactional and operational layers
• Lead adoption of CQRS, SAGA, and event sourcing patterns to manage state, support message reprocessing, and achieve consistency across bounded contexts
• Engineer service-to-service communication patterns with guarantees for exactly-once delivery, retry logic, dead-letter queues, and telemetry, ensuring end-to-end observability.
• Strategically separate write-heavy and read-heavy flows through API gateways and asynchronous processing backed by stream and cache layering
• Guide teams on when to choose NoSQL vs. relational DBMS based on access patterns, consistency requirements, and schema volatility
• Scale SQL-based systems using techniques such as read replicas, columnstore indexing, sharding, and connection pooling
• Mentor engineering teams, conduct code and design reviews, and ensure high standards across architecture, code, and operations