Data Platform Lead (Remote - New York or Georgia)

Jobgether; New York (NY); Remote; USD 190,000 - 230,000; Full time

Job summary

Jobgether is seeking a Data Platform Lead to build scalable data infrastructure in New York. This role involves architecting advanced data pipelines, collaborating with engineering teams, and ensuring data integrity for healthcare applications. Ideal candidates will have extensive experience in data engineering, strong leadership skills, and a passion for innovative data solutions.

Benefits

Competitive salary

Opportunity to shape healthcare technology

Remote flexibility

Career development

Qualifications

• 5+ years of experience in Data Engineering or Data Platform Engineering.
• Proven leadership skills with experience mentoring engineering teams.
• Hands-on experience with big data tools and streaming technologies.

Responsibilities

• Design and implement batch and real-time data pipelines using Kafka and Spark.
• Build and maintain structured data lakes and warehouses.
• Ensure data systems meet healthcare compliance standards, including HIPAA.

Skills

Python

Java

Data Engineering

Data Platform Engineering

Big Data Tools

AWS Cloud Services

Kafka

Apache Spark

Data Compliance

Tools

Docker

Kubernetes

Terraform

Job description

About Jobgether:

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Data Platform Lead in New York/Atlanta.

This role is ideal for a technical leader passionate about building robust, scalable data infrastructure to support real-time analytics, automation, and AI applications. As the Data Platform Lead, you’ll architect and guide the development of advanced data pipelines that integrate real-time and batch processing from various data sources, including IoT and EHR systems. You’ll collaborate closely with engineering, cloud, and healthcare technology teams to ensure data integrity, security, and performance across the platform. This is a mission-driven opportunity to reshape healthcare operations and patient outcomes through innovative data solutions.

Accountabilities:

• Design and implement batch and real-time data pipelines using technologies like Kafka and Spark.
• Build and maintain structured data lakes and warehouses supporting analytics and machine learning.
• Partner with engineering and cloud teams to deliver highly available and secure data systems.
• Integrate and standardize healthcare data from third-party sources such as Epic, Cerner, and Meditech.
• Ensure data systems meet healthcare compliance standards, including HIPAA.
• Lead architectural decisions to improve platform scalability, performance, and resiliency.
• Manage access control, data encryption, and anonymization protocols for sensitive data.

• 5+ years of experience in a Data Engineering or Data Platform Engineering role.
• Proven leadership skills with experience mentoring and guiding engineering teams.
• Expertise in Python and Java for building and automating data workflows.
• Hands-on experience with big data tools (e.g., Apache Spark) and Kafka for streaming.
• Strong knowledge of AWS cloud services related to data infrastructure.
• Experience with TimeScale and container orchestration tools such as Docker and Kubernetes.
• Familiarity with infrastructure-as-code tools like Terraform is a plus.
• Bonus: Background in healthcare tech or experience with EHR systems is highly valued.

• Competitive salary range of $190,000 – $230,000 per year
• Opportunity to shape the future of healthcare technology
• Work on high-impact, mission-driven projects with real-world outcomes
• Collaborate with cross-functional teams using cutting-edge data tools
• Career development in a fast-growing, innovation-focused environment
• Remote flexibility within hiring locations and a supportive team culture

Jobgether hiring process disclaimer

This job is posted on behalf of one of our partner companies. If you choose to apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates.

Our AI thoroughly analyzes every line of your CV and LinkedIn profile to assess your fit for the role, evaluating each experience in detail. When needed, our team may also conduct a manual review to ensure only the most relevant candidates are considered.

Our process is fair, unbiased, and based solely on qualifications and relevance to the job. Only the best-matching candidates will be selected for the next round.

If you are among the top 5 candidates, you will be notified within 7 days.
If you do not receive feedback after 7 days, it means you were not selected. However, if you wish, we may consider your profile for other similar opportunities that better match your experience.

Thank you for your interest!

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