"Principal Engineer, Data Strategy"

Principal Engineer, Data Strategy

Company: University of Maryland Global Campus

Job Location: Adelphi, 20783

Category: Database Administrator

Type: Full-Time

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 provide actionable solutions.
• Innovation: A deep passion for emerging technologies and continuous learning in the field of data science, machine learning, and software development.
• Data Science Tools & Technologies: Experience with data science and machine learning frameworks such as pandas, NumPy, scikit-learn, TensorFlow, and PyTorch. Strong familiarity with advanced algorithms and statistical models.

Education & Experience Requirements:

Experience: 10+ years of experience in software development, data science, or a related technical field, with a strong track record of leadership and technical innovation. Proven experience architecting large-scale systems and working across multiple teams to deliver complex, data-driven solutions.

Preferred Experience Requirements:

Education: Bachelor's Degree

All submissions should include a cover letter and resume.

Hiring Range: $180,000.00 - $190,100.00