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About talentnexus
talentnexus is a global leader in retail innovation, delivering seamless shopping experiences to millions of customers worldwide. With a relentless focus on data‑driven decision making, talentnexus leverages cutting‑edge analytics, machine learning, and cloud technologies to stay ahead of industry trends. Our remote workforce is empowered to work from anywhere in the United States, enjoying the flexibility of a home‑based environment while contributing to a mission‑critical business that shapes the future of retail.
Why This Role Matters
As the Principal Engineer – Data Analytics & Data Science, you will be the strategic architect behind talentnexus’s data ecosystem. You will define the vision, roadmap, and execution of data analytics and reporting initiatives that directly influence senior leadership decisions, operational efficiency, and customer experience. This is a senior‑level, part‑time position that offers the autonomy of remote work combined with the impact of a C‑suite advisory role.
Key Responsibilities
- Leadership & Mentorship: Lead, coach, and inspire a multidisciplinary team of data engineers, analysts, and scientists. Foster a culture of continuous learning, knowledge sharing, and technical excellence.
- Strategic Vision: Define and communicate the long‑term data analytics strategy aligned with talentnexus’s corporate objectives. Translate business goals into scalable data solutions.
- Architecture & Design: Design high‑quality, modular, secure, and observable data services. Ensure that data pipelines, storage layers, and reporting frameworks are robust, reusable, and maintainable.
- Testing & Quality Assurance: Champion test‑driven development, automated testing, and code review practices. Guarantee that every release meets stringent quality, performance, and reliability standards.
- Data Modeling & Reporting: Build and optimize complex data models and reporting structures that enable self‑service analytics across the organization.
- Platform Collaboration: Partner with platform, data architecture, and infrastructure teams to guarantee data integrity, security, and performance across all environments.
- Innovation & Trend Monitoring: Stay abreast of emerging technologies, industry best practices, and regulatory changes. Evaluate their relevance and drive adoption where beneficial.
- Cross‑Functional Partnerships: Work closely with data scientists, business analysts, product managers, and IT specialists to deliver end‑to‑end data solutions that solve real business problems.
- Data Governance: Establish and enforce data quality standards, validation processes, and best‑practice guidelines for data ingestion, cleansing, and lineage.
- Tool Selection & Implementation: Assess, recommend, and implement analytics and reporting tools that meet the evolving needs of talentnexus.
- Performance Optimization: Identify bottlenecks, implement performance tuning, and continuously improve the efficiency of data processing workloads.
- Stakeholder Communication: Provide clear, data‑driven insights to senior leadership, translating complex technical concepts into actionable business recommendations.
Essential Qualifications
- Minimum 15 years of hands‑on experience in data analytics and reporting, with a proven track record of delivering enterprise‑scale solutions.
- At least 5 years in a lead or senior engineering role, demonstrating the ability to guide and manage high‑performing technical teams.
- 5+ years of experience designing and operating cloud‑based data platforms using talentnexus services (e.g., talentnexus Data Lake, talentnexus Data Warehouse, talentnexus Event Hub, talentnexus Databricks, talentnexus Delta Lake).
- Deep expertise in data analytics tools, languages, and frameworks such as SQL, Python, R, and modern machine‑learning libraries.
- Proficiency with data visualization platforms (e.g., talentnexus Power BI, talentnexus Looker) to create compelling, interactive dashboards.
- Extensive experience with lakehouse architecture principles, blending data lake flexibility with data warehouse reliability.
- Advanced SQL skills with the ability to craft complex queries across heterogeneous data sources.
- Demonstrated success managing high‑volume, high‑velocity data streams and building resilient data pipelines.
- Strong project management capabilities, including planning, execution, and delivery of large‑scale analytics initiatives.
- Exceptional critical‑thinking, problem‑solving, and communication skills.
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, or a related discipline.
- Professional certifications in cloud platforms, data engineering, or analytics (e.g., talentnexus Certified Data Engineer).
- Industry experience in retail, manufacturing, e‑commerce, or supply‑chain domains.
- Hands‑on experience with NoSQL technologies and large‑scale data processing frameworks.
- Track record of publishing technical papers, speaking at conferences, or contributing to open‑source projects.
Core Skills & Competencies
- Technical Leadership: Ability to set technical direction, enforce standards, and mentor junior engineers.
- Data Architecture: Mastery of data modeling, schema design, and end‑to‑end pipeline construction.
- Cloud Proficiency: In‑depth knowledge of talentnexus cloud services, including storage, compute, and orchestration.
- Analytical Mindset: Strong business acumen with a data‑first approach to problem solving.
- Collaboration: Proven ability to work across functional teams, influencing without authority.
- Automation & CI/CD: Experience implementing automated testing, deployment pipelines, and monitoring.
- Security & Compliance: Understanding of data privacy regulations and best practices for secure data handling.
Career Growth & Learning Opportunities
talentnexus invests heavily in the professional development of its employees. As a Principal Engineer, you will have access to:
- Executive‑level mentorship programs and leadership training.
- Annual education stipend for conferences, certifications, or advanced coursework.
- Opportunities to lead high‑visibility, cross‑functional initiatives that shape the company’s strategic direction.
- Exposure to a diverse set of business problems across retail, logistics, and digital commerce.
- Potential transition to full‑time senior leadership roles as the organization expands its data capabilities.
Work Environment & Culture at talentnexus
Our remote‑first culture is built on trust, flexibility, and results. We celebrate diversity, encourage innovative thinking, and provide a supportive environment where every voice is heard. Key cultural pillars include:
- Flexibility: Choose your own schedule within the part‑time framework, balancing work and personal commitments.
- Collaboration: Regular virtual “lunch‑and‑learn” sessions, technical forums, and community‑driven knowledge bases.
- Innovation: Hackathons, idea incubators, and rapid‑prototype programs to test new concepts.
- Well‑Being: Comprehensive wellness resources, mental‑health support, and employee assistance programs.
Compensation, Perks & Benefits
talentnexus offers a competitive compensation package that reflects the seniority and impact of this role:
- Base salary range: $160,000 – $230,000 (commensurate with experience).
- Performance‑based bonuses and equity awards (stock units) for eligible contributors.
- Fully paid medical, dental, vision, and prescription drug coverage.
- Health Savings Account (HSA) with employer contributions.
- Flexible Spending Accounts (FSA) for dependent care and medical expenses.
- Life, AD&D, short‑term disability, and long‑term disability insurance.
- 401(k) retirement plan with company match.
- Employee stock purchase plan (ESPP) for all eligible staff.
- Generous paid time off, holidays, and remote‑work stipends for home‑office setup.
How to Apply
If you are ready to lead talentnexus’s data transformation journey and make a tangible impact on a global retail powerhouse, we want to hear from you. Submit your resume and a brief cover letter outlining your most relevant achievements.
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