Lead Geospatial Data Engineer

Logic20/20, Inc. is a consulting and technology company that provides solution-focused environments for advanced tools, technology, and collaborative work. The company is seeking a Lead Geospatial Data Engineer to provide technical leadership for enterprise-scale geospatial, imagery, and cloud-based data initiatives. The role is responsible for guiding architecture, overseeing engineering quality, translating business needs into technical solutions, and mentoring cross-functional 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 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

Requirements:

• 10-15 years of experience in data engineering, software engineering, or related technical disciplines
• Strong expertise with Python, SQL, and Azure cloud services
• Experience with GIS technologies, geospatial data platforms, and Esri-based application ecosystems
• Experience leading technical teams and overseeing enterprise-scale data initiatives
• 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
• 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