Experienced Principal Engineer - Data Analytics & Data Science Leader for Cloud-Based Information Analysis and Reporting Solutions

Introduction to blithequark

blithequark is a leading global retailer with operations in fourteen countries, committed to providing a family-oriented, employee-driven environment where our team members thrive and succeed. As one of the world's best managers, according to Forbes, we continue to drive innovation and growth while maintaining a strong focus on our employees' well-being and development. Our IT department is responsible for shaping the technical future of blithequark, and we are seeking an experienced Principal Engineer - Data Analytics & Data Science to lead our data analysis and reporting efforts.

Job Overview

The Principal Engineer - Data Analytics & Data Science will play a critical role in shaping the technical vision, design, and architecture of blithequark's data analysis and reporting landscape. This position requires a unique blend of technical leadership, mentorship, and collaboration to drive innovation and growth. The successful candidate will have a strong background in data analytics, cloud technologies, and leadership, with a proven track record of delivering complex data analysis and reporting solutions.

Key Responsibilities

• Leads and mentors a team of engineers, providing technical guidance, sharing best practices, and fostering a culture of continuous learning and development.
• Drives current software practices through design reviews and ensures the development of "top-tier" engineering for our services.
• Works on system design through obvious interfaces across various components, code reviews, and utilizing data/telemetry to inform decisions.
• Improves test coverage for services, organizes and implements integration tests, and resolves trouble spots.
• Ensures testability, compactness/checking, reliability, and practicality, and understands when code is fit to be shared and deployed.
• Focuses on business needs through a data-driven approach, investigating and advancing automation, reliability, and monitoring for deployed products.
• Sets the technical vision for data analysis and reporting, aligning with organizational objectives, and provides leadership in directing the overall direction of data analysis technical initiatives.
• Designs, develops, and enhances complex data models and reporting structures, driving the design and implementation of flexible and efficient data analysis and reporting architectures.
• Ensures the integrity, security, and performance of data products and reporting arrangements by partnering with platforms, data architecture, and service teams.
• Defines and implements the long-term technical strategy for data analysis, incorporating innovations and industry trends, and collaborates with cross-functional teams to foster comprehensive data solutions.

Essential Qualifications

• Demonstrated history with at least 15+ years of hands-on experience in data analysis and reporting roles.
• 5+ years of experience in leadership or senior roles, showing the ability to effectively guide and lead a team.
• 5+ years of experience working with Cloud technologies, such as ADLS, Azure Databricks, Flash, Azure Synapse, Universe DB, DBT, and other big data technologies.
• Exhibited advanced proficiency in data analysis tools, languages, ML, and frameworks (e.g., Conos, PowerBI, SQL, Python, R).
• Proficiency in data visualization tools, such as Tableau, Power BI, or similar tools to effectively communicate insights.
• Demonstrated ability to work with cloud platforms, such as AWS, Azure, or Google Cloud, to architect and implement flexible and efficient data analysis solutions.
• In-depth understanding and practical application of Lakehouse architecture principles, combining the best of data lakes and data warehouses for robust and scalable data management.
• Advanced SQL skills, with a strong understanding of relational databases and business data, and the ability to write complex SQL queries against multiple data sources.

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, Informatics, Data Science, or a related technical discipline.
• Important industry certifications are a plus.
• Experience in retail, manufacturing, e-commerce, or supply chain management.

Career Growth Opportunities and Learning Benefits

At blithequark, we are committed to providing our employees with opportunities for growth and development. As a Principal Engineer - Data Analytics & Data Science, you will have the chance to work on complex and challenging projects, collaborating with cross-functional teams to drive innovation and growth. You will also have access to training and development programs, industry conferences, and networking events to help you stay up-to-date with the latest technologies and trends.

Work Environment and Company Culture

blithequark is a dynamic and fast-paced work environment that values innovation, collaboration, and employee well-being. We offer a competitive salary and benefits package, as well as a range of perks and benefits, including flexible working hours, remote work options, and a comprehensive health and wellness program. Our company culture is built on a foundation of respect, trust, and open communication, and we are committed to creating a positive and inclusive work environment for all employees.

Compensation, Perks, and Benefits

blithequark offers a competitive salary range of $35-$40 per year, depending on experience, as well as a range of perks and benefits, including:

• Comprehensive health and wellness program
• Flexible working hours and remote work options
• Professional development and training programs
• Industry conferences and networking events
• Comprehensive benefits package, including medical, dental, and vision insurance
• 401(k) matching program
• Paid time off and holidays

Conclusion

If you are a motivated and experienced data analytics and data science professional looking for a new challenge, we encourage you to apply for this exciting opportunity to join blithequark as a Principal Engineer - Data Analytics & Data Science. With a strong focus on innovation, collaboration, and employee well-being, we offer a dynamic and fast-paced work environment that values creativity, teamwork, and continuous learning. Apply now to take your career to the next level and be a part of one of the world's best companies to work for!