Sensiple Inc is a New Jersey corporation with over two decades of expertise in technology-driven solutions specializing in Customer Experience, Contact Center Solutions, Digital Transformation, Cloud Computing & Independent Testing.
With an expert team that has enriched experience in executing & developing sustainable IT strategies in Healthcare, Technology, Retail, Logistics, Education, Telecommunications, Government and Media, we help our diverse customers to envision the future.
By developing highly scalable and consistent solutions, our primary goal is to deliver excellence at all levels and delight our customers and drive them to a better future.
Position: Principal Engineer (Customer Domain & Customer Central)
Work Location: Plano, TX (Hybrid)
Duration: Long Term Contract (W2)
Job Description:
We are seeking a highly motivated and experienced Principal Engineer with 12+ years of experience in customer data platforms, enterprise architecture, and engineering leadership. This role is ideal for a candidate with deep expertise in Customer 360, MDM, data governance, cloud modernization, and scalable platform design. The successful candidate will serve as the senior technical leader for the Customer domain, driving the technical strategy, architecture, and modernization of Customer Central and related customer data products while ensuring platform scalability, reliability, security, governance, and alignment with enterprise analytics, AI/ML, and customer data initiatives.
Key Responsibilities:
- Own the Customer domain technology roadmap, engineering standards, solution design guidance, and alignment with enterprise architecture, security, data, MDM, and governance strategies.
- Serve as the primary SME for application architecture, data model, business rules, integrations, providers/consumers, customer mastering, matching, survivorship, and identity resolution.
- Lead architecture reviews and define patterns for customer data integration, data quality, Customer 360, golden record management, real-time services, and analytics enablement.
- Coach engineers and technical leads, review critical designs/code/deployment approaches, and promote automation, DevOps, CI/CD, observability, reliability, and secure engineering practices.
- Partner with business and data leaders to define customer data products, improve data quality, expand capabilities, support Customer 360, and enable self-service analytics and AI/ML use cases.
- Provide technical escalation for incidents, root cause analysis, performance optimization, reliability improvements, disaster recovery planning, and technical risk mitigation.
- Evaluate emerging technologies, recommend architecture improvements, reduce technical debt, and drive modernization of customer mastering, identity resolution, and customer analytics capabilities.
- Architecture decisions in partnership with Enterprise and Data Architects, design patterns, integration standards, and technical governance.
- Customer Central modernization roadmap, technical debt prioritization, scalability strategy, and technology adoption recommendations.
- Code quality expectations, reliability standards, security/compliance adherence, and operational readiness requirements.
Requirements:
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field.
- 12+ years of experience in software engineering, enterprise application development, data platforms, or solution architecture.
- 5+ years of experience leading technical strategy, architecture, and engineering teams for enterprise-scale customer data, MDM, or Customer 360 platforms.
- Strong expertise in Master Data Management (MDM), customer mastering, identity resolution, matching and survivorship processes.
- Experience designing and implementing scalable, secure, and highly available enterprise applications and data platforms.
- Strong understanding of data architecture, data integration, APIs, event-driven architectures, and cloud-based solutions.
- Experience with customer data governance, data quality management, metadata management, and compliance requirements.
- Proven experience driving modernization initiatives, reducing technical debt, and implementing best practices for software engineering and platform reliability.
- Hands-on experience with DevOps, CI/CD pipelines, automation, observability, monitoring, and production support.
- Strong knowledge of security, privacy, risk management, and enterprise architecture principles.
- Experience partnering with cross-functional stakeholders, including Product Management, Data Governance, Security, Architecture, Engineering, and business teams.
- Excellent communication, leadership, mentoring, and stakeholder management skills.
- Experience supporting analytics, reporting, AI/ML, or Customer 360 initiatives through high-quality customer data platforms.
