Lead Data Engineer – Real-Time Analytics Platforms

Talenzon; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

Talenzon is seeking a Lead Data Engineer to join an on-site team in New York. You will design and scale modern data infrastructure that underpins analytics, machine learning, and business decision-making.

You will build data pipelines, support AI workloads, and collaborate with cross-functional teams to ensure data quality and governance across the platform.

Qualifications

• Experience in designing and building data platforms for analytics and ML workloads.
• Strong programming in Python and SQL with solid data modeling knowledge.
• Experience with cloud platforms (AWS, GCP, or Azure) and streaming/event-driven architectures.

Responsibilities

• 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.

Skills

Data engineering

Python

SQL

Distributed data processing

Data warehousing / lakehouse

Communication

Tools

AWS

GCP

Azure

Streaming technologies

Job description

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 modernisation 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

Location: New York, NY, USA

Work Model: On-site

Role Type: Full-Time