Lead Data Engineer
About The Position
NorthMark Compute & Cloud (NMC²) is backed by dedicated leadership and investment, with a clear mission as it operates at the bleeding edge of technology. Its goal is to scale and enhance the high-performance computing (HPC) and cloud infrastructure that supports its clients' research, production, and delivery, enabling breakthroughs that shape the industries of tomorrow. Its engineers build critical infrastructure to eliminate friction in scientific research, simulations, analysis, and decision-making, accelerating discovery and driving faster innovation. We are seeking a Lead Data Engineer to play a critical role in advancing NMC²’s big data engineering and analytics capabilities. This role will lead the design, development, and optimization of scalable data platforms, real time data pipelines, and analytics ready data products. As part of the Big Data Engineering and Analytics organization, this role will focus on enabling a modern data lake and data mesh architecture that supports high volume, high velocity, and high variety data across enterprise and platform domains. The Lead Data Engineer will bring deep hands-on expertise in Kubernetes, Kafka streaming platforms, and multi cloud ecosystems including AWS, Azure, and GCP. This role partners closely with data architects, analytics teams, and platform engineering to deliver reliable, governed, and high-quality data solutions.
Requirements
- 15+ years of experience in big data engineering
- Strong experience with Kafka
- Strong experience with Kubernetes
- Experience with AWS, Azure, and GCP
- Experience building data lakes or lakehouse platforms
- Experience with data mesh concepts
- Strong programming skills in Python, Scala, or Java
- Experience with Spark, Flink, or Beam
- Experience with Airflow or orchestration tools
- Understanding of data modeling and governance
- Experience with CICD and infrastructure automation
- Experience supporting AI and machine learning workloads including large language models such as Claude or similar platforms
- Strong communication and leadership skills
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Responsibilities
- Lead the design and implementation of scalable big data pipelines for batch and real time processing
- Build and operate streaming data platforms using Kafka
- Design and deploy cloud native data solutions across AWS, Azure, and GCP
- Develop and manage containerized workloads using Kubernetes
- Enable data mesh architecture with domain oriented data products
- Design and implement data lake and lakehouse architectures
- Ensure data quality, reliability, and observability
- Implement governance capabilities including metadata and lineage
- Collaborate with analytics, AI, and business teams
- Optimize performance and cost efficiency
- Mentor engineering teams
Benefits
- Company-Paid Lunch Stipend: Lunch is provided via GrubHub
- Company-Paid Benefits: 100% Employer-Paid Medical in our High Deductible Health Plan, Dental and Vision benefits for employees and their families, 16 weeks of Paid Parental Leave, Employee Assistance Program, Life insurance, Short-Term Disability and Long-Term Disability
- 401(k): Company will match 100% of your contributions up to 6%
- Optional Employee-Paid Benefits: Medical insurance in our PPO plan and a variety of other benefits such as Health Savings Accounts (with Company Contribution!), Flexible Spending Accounts, Supplemental Life Insurance, Wellhub and more.
- Time Off: 25 days of Paid Time Off plus 12 company holidays
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
