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.

Qualifications :

• 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.

Additional Information :

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 $173077- $179863. 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.

Learn more about life at Logic20/20!

Visit our Life at Logic page to explore our culture benefits and what makes Logic20/20 a great place to grow your career!

Core Values 

At Logic20/20 we are guided by three core values: Drive toward Excellence Act with Integrity & Foster a Culture of We. These values were generated and agreed upon by our employeesand they help us pursue our goal of being one of the best companies to work for and to work with. Learn more at  Opportunity Statement 

We believe that people should be celebrated: for their talents ideas and skills but most of all for what makes them unique. We prohibit harassment and/or discrimination based on age race creed color religion sex national origin ancestry disability status veteran status sexual orientation gender identity or expression genetic information marital status citizenship status or any other basis as protected by federal state or local law. 

To learn more about our DE&I initiatives please visit:  Policy 

During the recruitment and hiring process we gather process and store some of your personal data. We consider data privacy a priority. For further information please view our company privacy policy. 

Remote Work :

Yes

Employment Type :

Full-time