Senior Data Engineer
Keel Infrastructure is a digital and energy infrastructure company that develops and owns data centers and power assets for high-performance computing workloads, including AI. It serves hyperscalers, neocloud providers, and enterprise customers in North American markets.
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About Keel Infrastructure
Keel Infrastructure is an infrastructure-first developer and owner of energy-secured data-center campuses and power assets. Headquartered in New York City, it integrates power, land, and connectivity to support high-performance computing and AI deployments at scale. Its portfolio includes campuses in Washington, Pennsylvania, and Québec, with energized, secured, and expansion capacity across a multi-year development pipeline.
Skills
About the Role
You will design, build and maintain a modern data lake and its architecture. You will define ingestion, transformation and storage models for structured and unstructured data, implement data classification and DLP controls, translate stakeholder needs into pipelines and governance controls, ensure data quality and availability, monitor and optimize pipelines for performance and cost, resolve complex data issues, and mentor junior engineers.
Requirements
- More than 7 years of experience in data engineering or data platforms
- Proven experience designing and implementing data lake or data warehouse architectures
- Strong experience with data ingestion pipelines ETL and ELT and large-scale data processing
- Good understanding of data classification governance and security concepts
- Experience collaborating with security or compliance teams on DLP and data privacy initiatives
- Ability to communicate complex technical concepts to non-technical stakeholders
Responsibilities
- Design implement and maintain a scalable data lake architecture
- Define data ingestion transformation and storage models for structured semi-structured and unstructured data
- Establish best practices for data modeling partitioning performance and cost optimization
- Ensure high availability reliability and data quality across the platform
- Design and implement a data classification framework aligned with DLP requirements
- Collaborate with security and compliance to support DLP deployment
- Identify label and manage sensitive data throughout its lifecycle
- Integrate data classification into ingestion pipelines storage layers and access controls
- Implement access controls traceability and auditability for data
- Support compliance controls including SOX and ITGC where applicable
- Monitor optimize and troubleshoot data pipelines for performance reliability and cost
- Mentor junior engineers and contribute to knowledge sharing
Benefits
- Competitive salary and performance bonuses
- Group insurance with employer contribution
- Group retirement savings plan with employer contribution
- Employee referral program
- Telemedicine and employee assistance program (EAP)