Technical Lead

Role : Tech Lead (Python + Databricks + Angular) Location : Iselin, NJ (Hybrid) Key Responsibilities Technical Leadership • Lead a cross-functional engineering team across backend, frontend, and data engineering streams. • Own the full SDLC: architecture, design, development, code reviews, DevOps pipeline oversight, and production deployment. • Provide technical direction, mentor developers, enforce coding best practices, and promote engineering excellence. • Work closely with product owners, architects, and stakeholders to define technical strategy and roadmap. Backend Engineering (Python) • Design and build robust microservices, APIs, and data processing frameworks using Python. • Develop scalable ETL/ELT workflows and backend logic aligned with enterprise data standards. • Implement best practices in error handling, logging, performance tuning, and automated testing. Data Engineering (Databricks) • Build large-scale data pipelines and transformations using Databricks (PySpark/Spark SQL). • Optimize data workflows for cost, performance, and reliability. • Collaborate with data architects to define data models, governance, and quality frameworks. • Integrate Databricks with cloud services (Azure/AWS) for end-to-end data solutions. Frontend Engineering (Angular) • Develop user-friendly, responsive, and scalable UI components using Angular. • Drive best practices in UI architecture, state management, reusable components, and performance tuning. • Integrate frontend systems with backend APIs and data services. Cloud & DevOps • Work with CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins, etc.) for automated builds and deployments. • Ensure seamless deployment and monitoring of applications in cloud environments. • Drive improvements in observability, reliability, and system health using monitoring tools. Collaboration & Stakeholder Management • Partner with business teams to translate requirements into scalable technology solutions. • Estimate, plan, and track project deliverables. • Guide teams in Agile development practices (Scrum/Kanban). Required Skills & Qualifications Technical Skills • Strong hands-on experience with Python (Flask/FastAPI/Django desirable). • Advanced knowledge of Databricks, PySpark, Spark SQL. • Solid expertise in Angular (v10+) and TypeScript. • Experience building large-scale distributed systems. • Strong understanding of cloud platforms (Azure preferred, AWS/GCP acceptable). • Familiarity with SQL/NoSQL databases (PostgreSQL, MySQL, Cosmos, MongoDB, etc.). • Experience with Git, CI/CD pipelines, Docker, and containerized deployments.