Lead Geospatial Data Engineer
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Job Description
Lead geospatial data engineer guiding cloud-based geospatial, imagery, and enterprise data solutions at Logic20/20. Leading architecture, delivery, code quality, and engineering teams.
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 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 technical and non-technical audiences
- Participate in solution discovery, planning, estimation, and delivery activities
Requirements:
- 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
- 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
Benefits:
- Performance-based bonuses and other incentives
- Competitive compensation package
- Supportive, globally connected work environment
- Advanced tools and technology
- Opportunities for career growth
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