Lead Data Engineer, Imagery Models

* Lead and partner with Data Science, DAVS, Architecture and other business, stakeholder teams to prioritize use cases, gather requirements and implement solutions and pipelines for Imagery Models.
* Contribute to the Data Products Strategy for Imagery Model Outputs.
* Design and own the end‑to‑end data and ML pipeline architecture for imagery models (ingestion, preprocessing, feature engineering, training, evaluation, deployment)
* Integrate models into production systems and APIs with appropriate monitoring and alerting.
* Incorporate assurance processes into data solutions.
* Guide team members as they build complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions.
* Design complex data solutions, including incorporating new data sources and ensuring designs are consistent across projects and aligned to data strategies.
* Define and build frameworks for data solutions that can be applied to multiple projects.
* Perform analysis of complex sources to determine value and utilize your subject matter expertise to recommend data to include in analytical processes.
* Incorporate core data management competencies including data governance, data security and data quality.
* Collaborate and build consensus with leadership and diverse groups of stakeholders in defining, estimating, prioritizing and planning of projects.
* Perform data and system analysis, assessment and resolution for defects and incidents of high complexity and correct as appropriate.
* Define standards and frameworks for testing on data movement and transformation code and data components.
* Perform other duties as assigned.
* Bachelor’s Degree in STEM related field or equivalent.
* Fifteen years of related experience.
* 2+ years of experience in imagery pipeline development and reusable frameworks.
* Experience integrating imagery workflows into production systems and API's.
* 3+ years of experience with AWS Cloud and Python.
* 2+ years of experience with Databricks.
* Expert knowledge of tools, techniques, and manipulation including cloud platforms, programming languages, and modern software engineering practices.
* Expert knowledge of tools, techniques, and manipulation including cloud platforms, programming languages, and modern software engineering practices.
* Excellent delivery skills with the ability to examine and assess the effectiveness of software design strategies and methodologies, devise, apply, and share ways to ensure the quality of complex computer systems, incorporate awareness and understanding of work happening outside of the team, and develop widely used technical metrics that enable engineers to better understand and deliver their work.
* Demonstrated track record of domain expertise including the ability to improve company level capabilities within domain, consult on business priorities and optimize value by identifying business aligned solutions and thoughtfully and practically introduce concepts and technologies from the industry.
* Strong problem solving skills with the ability to create architecture that is particularly robust against single points of failure, both in terms of systems and people, and looks ahead 6-12 months to identify areas of need and turns this into action.
* Excellent communication skills with the ability to describe technology concepts in ways the business can understand, document effectively, collaborate across disparate groups, and model and assist others in the practice of mindful communication, active listening, and messaging.
* Strong leadership skills with the ability to engage with other leaders and networks to solve problems as well as work to improve the entire engineering organization by teaching others and sharing knowledge while creating opportunities for others to showcase and develop skills.
* Bachelor’s degree in computer science, related STEM field, or its equivalent in education and/or work experience.
* 7 additional years of data engineering experience.
* 2 years of technical leadership experience.
* ** Health Insurance**:
Employees and their eligible family members – including spouses, domestic partners, and children – are eligible…