Lead Data Engineer – Real-Time Analytics Platforms

Location: New York, NY, USA Work Model: On-site Role Type: Full-Time We are looking for a Lead Data Engineer with strong experience in large-scale data platforms and real-time analytics to join our client’s on-site team in New York. This role focuses on building and scaling modern data infrastructure that supports analytics, machine learning, and business-critical decision-making processes. What You’ll Do Design and build scalable data pipelines for batch and real-time processing Develop and maintain data platforms supporting analytics and AI workloads Implement data integration, transformation, and orchestration solutions Optimize performance, reliability, and scalability of data systems Collaborate with data scientists, analysts, and engineering teams Establish data quality, governance, and monitoring standards Support cloud migration and modernization initiatives What We’re Looking For Required Skills & Experience Strong experience in data engineering and data platform development Expertise in Python, SQL, and distributed data processing frameworks Experience with cloud platforms such as Amazon Web Services, Google Cloud, or Microsoft Azure Experience with streaming technologies and event-driven architectures Knowledge of data warehousing and lakehouse concepts Strong problem-solving and communication skills Nice to Have Experience supporting AI and machine learning workloads Familiarity with orchestration tools and Infrastructure as Code Experience in FinTech, Media, or SaaS environments #J-18808-Ljbffr