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.
Investors
Projects
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 operate a modern Data Lakehouse and related data platform. You will implement data classification and enable Data Loss Prevention (DLP) by embedding classification into pipelines, storage, and access controls. You will partner with business, IT, Security, and Compliance stakeholders to assess data sources, translate needs into data models and pipelines, and implement governance, access controls, lineage, and auditability. You will monitor and optimize pipelines for performance, reliability, and cost, troubleshoot complex data issues, evaluate new tools and patterns, and mentor junior engineers.
Requirements
- 7+ years of experience in data engineering or data platform roles
- Proven experience designing and implementing data lake or lakehouse architectures
- Strong experience with data ingestion ETL ELT pipelines and large-scale data processing
- Solid understanding of data classification data governance and data security concepts
- Experience collaborating with security or compliance teams on data protection initiatives such as DLP and data privacy
- Ability to communicate complex technical concepts clearly to non-technical stakeholders
Responsibilities
- Design, implement, and maintain a scalable Data Lakehouse architecture
- Define data ingestion, transformation, and storage patterns for structured semi-structured and unstructured data
- Establish best practices for data modeling partitioning performance optimization and cost efficiency
- Ensure high availability reliability and data quality across the data platform
- Lead the design and implementation of a data classification framework aligned with security compliance and business requirements
- Partner with Cybersecurity and Compliance to support the rollout of a Data Loss Prevention program
- Identify tag and manage sensitive data throughout the data lifecycle
- Embed data classification into ingestion pipelines storage layers and access controls
- Assess existing and new data sources and understand data usage criticality and sensitivity
- Define classification levels retention rules and access requirements
- Translate stakeholder needs into technical data models pipelines and governance controls
- Act as a trusted advisor on data architecture data governance and data protection
- Implement data access controls lineage and auditability in alignment with internal policies and regulatory requirements
- Support SOX ITGC and other compliance-driven data controls
- Contribute to the definition of data standards naming conventions and documentation
- Monitor and optimize data pipelines for performance reliability and cost
- Troubleshoot and resolve complex data-related issues across environments
- Continuously evaluate new tools technologies and patterns to improve the data ecosystem
- Mentor junior engineers and contribute to internal knowledge sharing
Benefits
- Bonus opportunities
- Group insurance plan with employer cost sharing
- Group retirement savings with employer contribution
- Employee referral program
- Telemedicine
- Employee assistance program (EAP)
