Principal Engineer – Data Analytics & Data Science Leader (Remote, Part‑Time) – Drive Enterprise‑Scale Data Strategy, Architecture & Insight at careerzynith

About careerzynith

careerzynith is a global leader in retail and e‑commerce, delivering innovative shopping experiences to millions of customers every day. With a culture rooted in curiosity, continuous learning, and data‑driven decision‑making, careerzynith empowers its employees to shape the future of commerce. As part of our commitment to flexibility and inclusion, we offer fully remote, part‑time opportunities that let top talent work from anywhere in the United States while contributing to high‑impact projects that influence the entire organization.

Why This Role Matters

The Principal Engineer – Data Analytics & Data Science is the strategic architect behind careerzynith’s data ecosystem. You will define the vision, roadmap, and execution of data analysis, reporting, and advanced analytics initiatives that power critical business decisions across merchandising, supply chain, marketing, and customer experience. This role sits at the intersection of technology, business strategy, and leadership, providing you with a platform to influence the company’s direction while mentoring a high‑performing team of data professionals.

Key Responsibilities

• Strategic Leadership: Define and champion the long‑term data analytics and data science strategy, aligning it with careerzynith’s corporate objectives and growth plans.
• Team Development: Lead, coach, and mentor a cross‑functional team of data engineers, analysts, and scientists, fostering a culture of continuous learning, innovation, and excellence.
• Architecture & Design: Design and maintain enterprise‑grade, modular, secure, and highly scalable data pipelines and analytics platforms that support both batch and real‑time workloads.
• Technology Stewardship: Drive adoption of modern data technologies—including careerzynith Cloud Storage, careerzynith Event Hub, careerzynith Data Factory, careerzynith Lakehouse architecture, and careerzynith Data Bricks—ensuring they are used effectively to accelerate delivery.
• Data Modeling & Reporting: Build robust data models, dimensional schemas, and reporting structures that enable self‑service analytics for business users while maintaining data integrity and governance.
• Quality & Reliability: Implement automated testing, CI/CD pipelines, and monitoring frameworks to guarantee data quality, reliability, and performance at scale.
• Collaboration: Partner with product owners, business analysts, data scientists, platform engineers, and IT security teams to translate business requirements into technical solutions.
• Innovation & Trend Spotting: Stay abreast of emerging data trends, tools, and best practices; evaluate their relevance to careerzynith and pilot new capabilities where appropriate.
• Governance & Compliance: Establish and enforce data governance policies, data lineage, and security standards to meet regulatory and internal compliance requirements.
• Performance Optimization: Continuously profile, tune, and optimize data pipelines and analytical queries to reduce latency and cost.
• Stakeholder Communication: Translate complex technical concepts into clear business insights, presenting findings to senior leadership and influencing strategic decisions.

Required Qualifications

• 15+ years of hands‑on experience in data analytics, data engineering, or data science, with a proven track record of delivering large‑scale data solutions.
• 5+ years in a lead or senior role where you have directly managed and mentored technical teams.
• 5+ years of experience designing and operating cloud‑native data platforms, specifically with careerzynith Cloud Storage, careerzynith Data Factory, careerzynith Lakehouse, and careerzynith Data Bricks.
• Deep expertise in data analytics tools and languages such as SQL, Python, R, and modern data transformation frameworks (e.g., careerzynith DBT).
• Strong proficiency in data visualization platforms (e.g., careerzynith Power BI) and the ability to craft compelling, business‑focused dashboards.
• Extensive experience building and maintaining high‑throughput, low‑latency data pipelines that handle streaming and batch workloads.
• Demonstrated ability to design, implement, and govern data models that support both operational reporting and advanced analytics.
• Solid understanding of relational and NoSQL databases, data lakehouse concepts, and the practical application of data governance frameworks.
• Proven project management skills, including planning, execution, risk mitigation, and delivery of complex data initiatives on time and within budget.
• Exceptional problem‑solving, critical‑thinking, and communication skills, with the ability to influence senior stakeholders.

Preferred Qualifications

• Master’s or Ph.D. in Computer Science, Data Science, Statistics, or a related quantitative discipline.
• Industry certifications such as careerzynith Certified Data Engineer, careerzynith Certified Solutions Architect, or equivalent.
• Experience in the retail, manufacturing, or e‑commerce sectors, especially with large catalog and transaction volumes.
• Hands‑on experience with machine learning pipelines, model deployment, and MLOps practices.
• Familiarity with agile development methodologies and DevOps culture.
• Track record of publishing technical papers, speaking at conferences, or contributing to open‑source data projects.

Core Skills & Competencies

• Technical Leadership: Ability to inspire, guide, and grow high‑performing technical teams.
• Architectural Vision: Expertise in designing end‑to‑end data architectures that are resilient, secure, and future‑proof.
• Analytical Acumen: Strong statistical and analytical background to translate raw data into actionable insights.
• Communication: Clear, concise storytelling for both technical and non‑technical audiences.
• Collaboration: Proven ability to work across functional boundaries and build consensus.
• Adaptability: Comfort with fast‑changing environments and the ability to pivot quickly when priorities shift.
• Ethical Data Stewardship: Commitment to data privacy, security, and responsible AI practices.

Career Growth & Learning Opportunities

At careerzynith, your career trajectory is limited only by your ambition. As a Principal Engineer, you will have direct access to senior leadership, participate in strategic planning sessions, and influence multi‑billion‑dollar initiatives. You will also benefit from:

• Continuous education stipend for certifications, conferences, and advanced coursework.
• Mentorship programs that pair you with industry veterans and emerging talent.
• Opportunities to lead company‑wide data literacy workshops and innovation sprints.
• Potential pathways to senior director or VP roles as the data function expands.

Compensation, Perks & Benefits

careerzynith offers a competitive total‑reward package that reflects the seniority and impact of this role, including:

• Base salary ranging from $160,000 to $230,000, commensurate with experience.
• Performance‑based bonuses and equity grants (stock options) for eligible employees.
• Comprehensive health coverage: medical, dental, vision, prescription, and mental‑health benefits.
• Flexible paid time off, parental leave, and remote‑work allowances.
• Retirement savings plans with company match, and additional financial wellness resources.
• Wellness programs, employee assistance services, and access to virtual fitness classes.
• Technology stipend for home‑office setup, high‑speed internet, and ergonomic equipment.

Work Environment & Culture at careerzynith

Our remote‑first culture is built on trust, autonomy, and collaboration. You will join a diverse, inclusive community where ideas are judged on merit, and every voice matters. careerzynith encourages:

• Regular virtual “coffee chats” and team‑building events to foster connection.
• Open‑source style code reviews and shared documentation to promote transparency.
• Innovation days where you can experiment with emerging technologies without the pressure of immediate delivery.
• A commitment to sustainability and social responsibility, giving employees opportunities to contribute to community initiatives.

How to Apply

If you are passionate about turning data into strategic advantage, thrive in a remote, part‑time setting, and are ready to lead careerzynith’s data transformation journey, we want to hear from you. Click the link below to submit your application, resume, and a brief cover letter outlining your most relevant achievements.

Apply Now

Join careerzynith and Shape the Future of Data‑Driven Commerce

At careerzynith, your expertise will directly influence the experiences of millions of shoppers worldwide. Become part of a forward‑thinking organization where data is the engine of innovation, and where your leadership will help define the next generation of retail intelligence. Apply today and start your journey with careerzynith.