Big Data Integration/IOT Tech Lead

Job Title: Big Data Integration / IoT Tech Lead

Location: Reading, PA (Remote)

Job Summary:
We are seeking an experienced Big Data Integration / IoT Tech Lead to drive the design, development, and implementation of scalable IoT solutions and big data pipelines. The ideal candidate will lead a team of engineers, architect end-to-end data integration strategies, and ensure high-quality, real-time analytics for IoT devices and enterprise systems.

Key Responsibilities:

• Lead the architecture, design, and implementation of IoT platforms and big data integration solutions.

• Design and implement data ingestion pipelines from IoT devices and external data sources into big data ecosystems (Hadoop, Spark, Kafka, AWS/Google Cloud Platform/Azure).

• Ensure real-time data processing, event streaming, and batch processing for high-volume IoT datasets.

• Define data models, storage strategies, and APIs for integration with enterprise systems and analytics platforms.

• Lead, mentor, and guide a team of software engineers, data engineers, and IoT developers.

• Collaborate with product managers, data scientists, and business stakeholders to understand requirements and translate them into scalable technical solutions.

• Ensure robust security, data privacy, and compliance standards for IoT and big data platforms.

• Conduct performance tuning, optimization, and troubleshooting of data pipelines and IoT applications.

• Implement monitoring, logging, and alerting for IoT devices and data pipelines.

• Stay updated with emerging trends in IoT, big data, edge computing, and cloud technologies.

Required Skills & Qualifications:

• Proven experience in IoT platforms, big data integration, and real-time analytics.

• Strong programming skills: Java, Python, Scala, or Node.js.

• Experience with big data technologies: Hadoop, Spark, Kafka, Flink, or similar.

• Hands-on experience with cloud platforms: AWS IoT Core, Azure IoT Hub, or Google Cloud IoT.

• Knowledge of RESTful APIs, MQTT, CoAP, OPC-UA, and other IoT communication protocols.

• Strong understanding of data modeling, ETL/ELT processes, and streaming analytics.

• Experience in deploying and scaling distributed systems and microservices.

• Strong leadership, mentoring, and project management skills.

• Excellent problem-solving and communication skills.

Preferred:

• Experience with AI/ML integration for IoT analytics.

• Knowledge of edge computing frameworks and sensor data analytics.

• Familiarity with DevOps practices and containerization (Docker, Kubernetes).