Principal Geospatial Data Management Engineer

Description

• Drive the adoption and optimization of cloud-based data solutions (e.g. AWS).
• Collaborate closely with data scientists, analysts, and business stakeholders to deliver high-impact data products.
• Maintains and manages data pipelines and data catalogs
• Responds to data extraction requests
• Design, build, and interact with API-driven, service-to-service web services to enable integration across a suite of products and capabilities.
• Sets strategic direction for data management programs and initiatives
• Proactively recommend and implement improvements to existing data infrastructure and software programs.
• Lead the development and optimization of ETL processes for ingesting, cleaning, transforming, and storing large volumes of geospatial and tabular data.
• Tests, validates and maintains data quality across all parts of data infrastructure
• Monitors the health of data infrastructure
• Translate complex analytics and business questions into actionable, production-grade data solutions.
• Ensure data quality, integrity, and security across all stages of the data lifecycle.
• Architect, design, and maintain robust, scalable data pipelines and infrastructures for geospatial and big data applications maintaining a focus on performance and the ultimate end-user product experience.
• Collaborate with backend and platform engineers to ensure secure, reliable, and scalable service-to-service communication.
• Manages data acquisition and ingestion
• Stay current with industry trends and emerging technologies in geospatial data engineering.
• Designs, plans, implements and supports data infrastructure using both relational and non-relational data
• Mentor and provide technical guidance to junior data engineers and business team members.
• Mentors others or leads teams and/or projects
• Manages and optimizes data access

Requirements

• Awareness of machine learning, deep learning, and artificial intelligence applications related to geospatial data engineering workflows.
• GISP and/or ASPRS CMS Certifications
• Experience: 10+ years
• Possess expert knowledge of coordinate reference systems, including their reprojections and conversions, with a focus on understanding the implications of accuracy and performance impact on data pipelines and published data products.
• Background in the Energy sector, particularly in Oil & Gas, Renewables, or Utilities.
• Master’s Degree
• Proven experience in national or global scale data challenges.
• Communicate technical details and insights clearly to both technical and non-technical audiences, including leadership.
• Understanding of Python; familiarity with version control systems like Git and Agile methodologies.
• Expertise in Safe Software FME and Esri Enterprise GIS platforms, as well as cloud computing environments like AWS, leveraging Kubernetes.
• Knowledge of geospatial libraries and tools (e.g., Esri, GDAL, PDAL, PostGIS, GeoPandas, Shapely, etc).
• Ability to lead several parallel data projects with various subject matter experts to achieve cost-effective and competitive outcomes.
• Experience with data streaming, real-time data processing, or cloud-native geospatial solutions.
• Experience: 6+ years
• Strong experience with geospatial analytics and working with geospatial data formats (e.g., SDE, LAS, LAZ, COPC, GeoTIFF, Shapefiles, KML, GeoVideo, Etc).
• Bachelor's Degree

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance