Principal Engineer, Data Strategy

Principal Engineer, Data Strategy

Data Science - IT

US Exempt Regular

Full time

Stateside Exempt 4.5

Location: Adelphi, MD (Hybrid)

Summary: 

The Principal Engineer, Data Strategy is a subject matter expert role that requires a profound technical background in data management, software development, and data science. This individual will be responsible for leading the design, development, and implementation of cutting-edge, data-driven solutions that fuel business growth and enhance customer experiences. The Principal Engineer will work closely with cross-functional teams to identify business needs and architect innovative solutions that meet those needs at scale. 

Duties and Responsibilities: 

• Leadership in Solution Design: Lead the development and implementation of high-impact data science and software solutions, aligning with strategic business objectives. Architect scalable, robust systems and algorithms that address complex business challenges.  

• Cross-Functional Leadership: Act as a technical leader across multiple teams, collaborating with engineering, product, and business units to define requirements, influence product roadmaps, and drive innovation.  

• Mentorship and Knowledge Sharing: Guide and mentor senior engineers and data scientists, fostering a culture of technical excellence and continuous learning. Share knowledge on best practices, cutting-edge techniques, and industry trends.  

• Optimization and Scalability: Ensure the scalability and efficiency of systems, algorithms, and workflows. Lead efforts to optimize performance and resource utilization for data processing and machine learning models in production.  

• Innovation and Strategy: Stay ahead of industry trends and emerging technologies. Proactively propose and implement innovative data science techniques, new methodologies, and software development practices to address evolving business needs.  

• Stakeholder Engagement: Work with business and technical stakeholders to define project goals and KPIs, and provide regular updates on progress. Translate complex technical concepts into action-oriented business solutions.  

• Strategic Problem Solving: Tackle high-level, complex problems that require innovative solutions and advanced technical expertise. Apply a data-driven mindset to decision-making and problem-solving.  

• End-to-End Development: Oversee the entire lifecycle of data science and software development projects, from ideation to deployment, ensuring alignment with business needs and objectives.  

 

Skills: 

• Programming Expertise: Expert proficiency in Python, SQL, and other relevant programming languages. Experience with large-scale distributed systems, microservices, and cloud-native architectures.  

• System Design & Architecture: Expertise in software engineering principles, system architecture, and data pipeline design. Demonstrated ability to design scalable, fault-tolerant systems.  

• Leadership & Collaboration: Strong leadership skills with the ability to influence and collaborate with operations and leadership, cross-functional teams, and stakeholders. Exceptional communication skills, both written and verbal.  

• Strategic Thinking: Ability to make high-level technical and strategic decisions that align with business goals. Proactive in identifying opportunities for innovation and efficiency.  

• Problem-Solving & Analytical: Superior problem-solving skills with the ability to break down complex challenges and pr