R&D principal iot data pipeline architect

Responsibilities

• Own the platform roadmap, target architecture, transition plans, technical debt priorities, and architecture decisions.
• Lead architecture and implementation across device-to-cloud ingestion, storage, processing, analytics, APIs, and applications.
• Establish reference architectures, engineering standards, reusable frameworks, decision records, and exception controls.
• Define system boundaries and integration contracts across Firmware, Cloud, Data, Software, Analytics, Security, Product, and IT.
• Translate product needs into measurable requirements for latency, scale, availability, recovery, quality, security, and cost.
• Design and implement batch, streaming, event-driven, and API-based pipelines connecting devices, cloud services, analytics, and applications.
• Own the telemetry lifecycle from device identity and ingestion through validation, enrichment, storage, serving, retention, and deletion.
• Create scalable storage, processing, and serving patterns for telemetry, alerts, APIs, analytics, AI/ML, and low-code applications.
• Implement lakehouse and streaming patterns with governed raw, validated, curated, and product-ready data layers.
• Define event schemas, data models and contracts, schema evolution, replay, idempotency, deduplication, and ordering controls.
• Build production-ready reference implementations and perform integration, contract, performance, resilience, security, and regression testing.
• Lead capacity planning, workload isolation, scale testing, backfill, correction, replay, and migration strategies.

Qualifications

• Must-Have: Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience.
• 10+ years in cloud, software, data engineering, or platform architecture, including 5+ years leading complex production data-platform architecture.
• Demonstrated hands-on ownership of large-scale production cloud data platforms and secure multi-tenant architectures.
• Production experience with IoT telemetry, event-driven systems, high-volume streaming, and distributed-system failure modes.
• Deep experience with Azure and Databricks, including Spark, Delta Lake, lakehouse design, performance optimization, and Unity Catalog.
• Experience with IoT Hub, Event Hubs, Kafka, Structured Streaming, or comparable event and streaming technologies.
• Strong SQL and proficiency in Python, Scala, Java, C#, or a comparable platform-development language.
• Experience with data modeling, APIs, integration contracts, infrastructure as code, CI/CD, automated testing, and observability.
• Experience implementing security, governance, lineage, access controls, tenant isolation, auditability, disaster recovery, and cloud cost controls.
• Ability to turn ambiguous product requirements into secure, testable architectures, working implementations, and executable roadmaps.
• Ability to defend architecture decisions with engineering, cybersecurity, enterprise architecture, product, vendors, and executives.

About the Role

The Principal IoT Data Platform Architect at Duracell is responsible for owning the architecture, implementation framework, security, governance, and evolution of the Procell InSite data platform. This role involves setting standards, implementing and testing critical platform elements, establishing secure reusable frameworks, and driving scalability, reliability, and product innovation. The role requires hands-on technical leadership and direct contribution, spanning IoT devices, Azure, Databricks, analytics, AI/ML, APIs, and customer-facing applications.