Software Integrations Developer

• Design and implement end-to-end batch and streaming data pipelines using Azure Data Factory / Synapse Pipelines and Databricks
• Develop scalable ETL/ELT workflows using PySpark, SQL, and Databricks notebooks
• Build and optimize ingestion frameworks for structured and unstructured data
• Lead Databricks-based lakehouse architecture using Delta Lake and bronze, silver, and gold data layers
• Optimize Spark jobs through partitioning, caching, and cluster tuning
• Implement data versioning and incremental processing while maintaining data quality, consistency, and governance
• Build secure, scalable solutions using Azure Data Factory, Data Lake Storage, Synapse Analytics, and Key Vault
• Design, build, and maintain integrations using Azure Functions, Logic Apps, Service Bus, and Event Grid
• Connect business applications, SaaS platforms, and external services with the data platform
• Develop and expose secure, documented REST APIs and event-driven endpoints through Azure API Management
• Implement publishing, versioning, throttling, and authentication for APIs
• Implement event-driven and near-real-time messaging patterns using Event Hub, Event Grid, and Service Bus
• Monitor and optimize data workflows for reliability, performance, and cost efficiency
• Manage code repositories, CI/CD pipelines, and deployments using Azure DevOps
• Maintain technical documentation and follow governance best practices
• Collaborate with business stakeholders and technical teams to translate requirements into scalable data solutions
• Provide technical leadership
• Deliver reliable Azure integration architectures targeting 99.9% uptime, optimized throughput, minimal technical debt, clear documentation, security governance, and seamless data flow

• 5+ years of experience in Data Engineering / Data Platform development
• 3+ years of hands-on experience with Azure Databricks
• Strong experience with Azure Data Factory, ADLS Gen2, and Synapse Analytics
• Proven experience building enterprise-scale data pipelines
• Hands-on experience building application and API integrations using Azure Functions, Logic Apps, and Azure API Management
• Experience working in Agile/Scrum environments and full SDLC lifecycle
• Strong proficiency in Python (PySpark) and SQL
• Experience with Databricks notebooks for scalable data processing and transformation logic
• Deep knowledge of ETL/ELT design patterns, Slowly Changing Dimensions (SCD), medallion architecture, and data modelling for analytics
• Expert-level experience with Azure Data Factory / Synapse Pipelines, Azure Data Lake Storage, and Azure Databricks including Delta Lake
• Hands-on experience with Azure Functions, Logic Apps, Service Bus / Event Grid, and Azure API Management
• Experience designing REST APIs and implementing secure authentication using OAuth 2.0 / managed identities
• Advanced hands-on experience with Spark optimization, cluster management, job orchestration, and performance tuning in Databricks
• Experience with streaming technologies, Microsoft Fabric, CI/CD for data platforms, or Power BI is a significant advantage
• Design-first and quality-focused mindset
• Comfortable working in ambiguity and evolving requirements
• Strong communicator able to explain technical concepts to non-technical audiences
• Proactive, collaborative, and continuous improvement oriented
• Strong sense of urgency and ownership

• Opportunity to lead and shape the organization's modern data platform strategy
• High-impact data initiatives enabling analytics, AI, and digital transformation programs
• Strong executive visibility
• Meaningful ownership and technical stretch
• Long-term growth opportunity
• Opportunity to define best practices under the OneGP model
• Opportunity to work with modern Microsoft technologies, including Power Platform, Azure integrations, and emerging AI and Copilot capabilities