R&D principal iot data pipeline architect

Location : U.S.A based - Remote Segment : InSite Direct Report To: Senior R&D Director Duracell is seeking a Principal IoT Data Platform Architect to own the architecture, implementation framework, security, governance, and evolution of the Procell InSite data platform. This role spans IoT devices, Azure, Databricks, analytics, AI/ML, APIs, and customer-facing applications. This hands-on technical authority will set standards, implement and test critical platform elements, establish secure reusable frameworks, and drive scalability, reliability, and product innovation. The role is a senior individual contributor operating through technical leadership and direct contribution. Data Platform Leadership • 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. Data Engineering & Architecture • 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. • Define event schemas, data models and contracts, schema evolution, replay, idempotency, deduplication, and ordering controls. • Implement lakehouse and streaming patterns with governed raw, validated, curated, and product-ready data layers. • Create scalable storage, processing, and serving patterns for telemetry, alerts, APIs, analytics, AI/ML, and low-code applications. • Establish data quality, lineage, observability, ownership, issue routing, and measurable service levels. • 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. Governance & Security • Own Procell InSite governance for metadata, stewardship, classification, retention, lineage, auditability, and trusted datasets. • Define Unity Catalog architecture and integration with the enterprise governance ecosystem. • Implement least-privilege access, managed identities, secrets, encryption, key management, private connectivity, and security monitoring. • Own secure platform boundaries across Azure, Databricks, storage, networks, environments, APIs, and customer tenants. • Ensure tenant isolation and alignment with enterprise, contractual, privacy, cybersecurity, residency, retention, and audit requirements. • Perform threat modeling and security reviews for ingestion, data sharing, APIs, AI, and external integrations. Cloud & Platform Strategy • Define and implement Azure and Databricks architecture and guardrails for ingestion, storage, processing, orchestration, serving, governance, and monitoring. • Own platform topology across subscriptions, resource groups, environments, regions, networks, identities, storage, and workspaces. • Implement infrastructure as code, source control, automated testing, CI/CD, environment promotion, deployment validation, and rollback. • Establish service objectives and observability for ingestion, latency, freshness, availability, performance, and recovery. • Define disaster recovery, backup, restore, RTO/RPO, regional recovery, dependency-failure, and recovery-testing strategies. • Drive capacity forecasting, cost attribution, budget controls, unit-cost measurement, platform lifecycle, and build-versus-buy decisions. Technical Leadership • Serve as the technical authority, approve target architectures and standards, and lead design and exception reviews. • Convert approved designs into working frameworks, reference implementations, test strategies, and production-ready patterns. • Remain hands-on in critical design, coding, configuration, prototyping, troubleshooting, performance testing, and security validation. • Partner across engineering, product, cybersecurity, QA, operations, IT, and strategic vendors to deliver integrated solutions. • Mentor engineers and architects and communicate technical tradeoffs, risks, and investment recommendations to leadership. 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. Nice-to-Have • Experience with connected-device fleets, device registries or twins, real-time alerting, and condition-monitoring platforms. • Experience with customer-facing Data-as-a-Service, SaaS, governed data sharing, Power BI, low-code, or generative AI platforms. • Experience leading platform modernization or migration while maintaining production availability. • Azure or Databricks certifications; master's degree in a technical discipline.