Senior Software Engineer

Informatica IDMC Developer(Search, Data & Cloud Platform)

Location: DALLAS TEXAS

Job Type: Full-Time / Contract

Rate: $73.00 to $75.00 hr

About the Role

We are seeking a Senior Software Engineer / Technical Consultant to design, build, and scale our enterprise search, data integration, and intelligent matching platform. In this role, you will develop high-performance REST APIs, low-latency search capabilities, and event-driven data pipelines supporting millions of daily transactions.

You will work with a modern cloud-native stack--including Python, Elasticsearch, Kafka, Informatica IDMC, Databricks, and Azure--to solve complex distributed systems challenges, optimize enterprise data integration pipelines, and engineer resilient cloud platforms.

Key Responsibilities

• Backend Development: Design, build, and maintain scalable cloud-native backend services and high-performance REST APIs using Python and modern frameworks (e.g., FastAPI, asynchronous Python).

• Enterprise Data Integration & IDMC: Design, develop, and manage enterprise-grade data integration pipelines, data quality rules, and API services using Informatica Intelligent Data Management Cloud (IDMC).

• Enterprise Search & Matching: Architect and optimize Elasticsearch indexes, mapping designs, Query DSL, aggregations, and relevance tuning to power intelligent search and matching capabilities over massive datasets.

• Event-Driven Architectures: Build and maintain scalable, high-throughput streaming and data ingestion pipelines using Apache Kafka and Azure Event Hub.

• Data & Platform Integration: Integrate applications with enterprise data platforms like Databricks, IDMC cloud data integration (CDI/CAI), and relational databases.

• Cloud Infrastructure & Security: Deploy, manage, and secure scalable microservices on Microsoft Azure using App Services, Managed Identity, Key Vault, and Azure Linux VMs.

• DevOps & Observability: Implement CI/CD pipelines (Azure DevOps, Docker, Git), set up monitoring/logging frameworks, and optimize system resource utilization, data processing efficiency, and API response times.

• Technical Leadership & Collaboration: Participate in system design reviews, code reviews, and production support while collaborating closely with architects, data engineers, and product teams.

Required Qualifications

• 7+ years of professional software engineering experience with strong backend development skills in Python.

• Hands-on experience with Informatica IDMC (Intelligent Data Management Cloud), including Cloud Data Integration (CDI), Cloud Application Integration (CAI), data profiling, and pipeline automation.

• Demonstrated experience building, securing, and operating production REST APIs (asynchronous Python, FastAPI).

• Strong hands-on production experience with Elasticsearch, including index lifecycle management, query optimization, bulk indexing, and search relevance tuning.

• Proven experience deploying applications on Microsoft Azure (App Services, Storage, Event Hub, Monitor, Key Vault).

• Solid foundation with CI/CD deployment automation using Docker, Git, and Azure Pipelines.

• Proficiency with relational databases (PostgreSQL, SQL Server, or Oracle) and complex SQL query optimization.

• Deep knowledge of distributed systems, microservices architectures, and production troubleshooting/monitoring.

Preferred Qualifications

• Experience with enterprise data processing frameworks like Databricks / Apache Spark.

• Certification in Informatica IDMC or Azure Data Engineer.

• Background in AI/ML integration, OCR, or advanced document processing pipelines.

• Prior experience as a technical consultant or client-facing technical lead.

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