Lead Geospatial Data Engineer

We are seeking a Lead Geospatial Data Engineer to provide technical leadership for enterprise-scale data and analytics initiatives involving geospatial, imagery, and cloud-based data platforms. This individual will serve as the technical lead responsible for guiding architecture decisions, reviewing implementation approaches, and ensuring high-quality delivery across cross-functional teams. The ideal candidate combines strong geospatial data engineering expertise with excellent communication skills and the ability to collaborate with both technical and executive stakeholders.
Responsibilities
Lead the design, development, and implementation of scalable cloud-based data solutions.
Provide technical oversight and code review for engineering teams to ensure quality, scalability, and maintainability.
Partner with business stakeholders, product owners, architects, and engineering teams to translate business needs into technical solutions.
Guide technical decision-making related to data ingestion, transformation, storage, and integration.
Support the development of solutions involving geospatial, imagery, and enterprise data platforms.
Collaborate with cross-functional teams to evaluate tools, technologies, and implementation strategies.
Mentor engineers and establish engineering best practices across projects.
Communicate technical concepts effectively to both technical and non-technical audiences.
Participate in solution discovery, planning, estimation, and delivery activities.
10-15 years of experience in data engineering, software engineering, or related technical disciplines.
Experience leading technical teams and overseeing enterprise-scale data initiatives.
Strong expertise in PySpark, SQL, and cloud services.
Experience with GIS technologies, geospatial data platforms, and Apache Sedona.
Experience designing and implementing data pipelines, integrations, and cloud-native architectures.
Strong communication and stakeholder management skills.
Experience working within utility, energy, or other asset-intensive industries.
Experience reviewing technical designs, implementation approaches, and engineering deliverables.
Preferred
Palantir Foundry experience is highly preferred.
Experience with computer vision, imagery, LiDAR, or related large-scale image datasets.
Consulting experience in a client-facing environment.
Experience supporting enterprise modernization and cloud transformation initiatives.

Employment type
Full-time

Work arrangement
Yes