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 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.

- 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.

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.

At Logic20/20, we believe in recognizing and rewarding exceptional talent. Logic20/20 offers a competitive compensation package, with a target base salary range of $173,077- $179,863. The final base salary offered is dependent on factors such as relevant experience, skills, qualifications, and location. Eligible employees may also qualify for performance-based bonuses and other incentives.

All your information will be kept confidential according to EEO guidelines.
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