Job description

Company Overview At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future. Department Overview Motorola Solutions creates innovative, mission-critical communication solutions and services that help public safety and commercial customers build safer cities and thriving communities around the world.We look for the most advanced problems solvers - like you - to help us create technologies that rise to the challenges of our customers. To connect firemen to policemen to emergency responders to nurses to specialists to lives saved. To protect communities, grow businesses and make work safer and more efficient. Motorola Solutions is looking for a self motivated individuals to help drive the next generation public safety experience, and to work with a team of top experienced professionals to enable mission critical services and solutions. Job Description The Principal Streaming Data Architect will lead the real-time data streaming and processing architecture for our nationwide sensor detection platform. He/She will work with our engineering, product, compliance, and infrastructure teams in developing a stateful, low-latency stream processing engine capable of handling thousands of messages per second from distributed sensors. These real-time data pipelines will be used by our customers to monitor secure perimeters, track asset movements, and ensure public safety. Assess our existing data ingestion and processing solutions (including Azure Event Hubs and Azure Databricks) and advise on the optimal stream processing frameworks to process high-velocity data efficiently and securely. Use advanced distributed systems engineering to design and develop stateful stream processing applications that achieve sub-second deduplication of sensor broadcast messages across thousands of sensors. Design and implement a robust schema registry and event-driven data modeling strategy to ensure consistency and high data quality across all sensor telemetry pipelines. Build the technical data governance foundation within the streaming architecture, ensuring strict data lineage, metadata management, and auditability of data flows. Collaborate with Data Science teams to operationalize and deploy real-time machine learning models (e.g., anomaly detection, predictive tracking) directly into the stream processing pipelines. Develop processes and patterns to consume telemetry from ingestion layers while ensuring fault tolerance, zero data loss, and end-to-end latency from sensor to UI. Partner with DevSecOps to ensure data-in-transit and in-memory state comply with strict CJIS, FIPS 140-3, and FedRAMP High standards. Develop the technical skills of junior and mid-level team members by providing hands-on architecture reviews and mentorship. Work directly with the geospatial data engineering and backend teams to design, implement, and validate pipelines that anonymize data in-stream and feed both real-time UIs and spatial databases. #LI-JM2 Target Base Salary Range: $158,800 - $185,600 USD Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate. Basic Requirements Bachelor s Degree OR 10 years experience. Must be a US Citizen due to the nature of some contracts. Travel Requirements None Relocation Provided None Position Type Experienced Referral Payment Plan No Our U.S. Benefits include: Incentive Bonus Plans Medical, Dental, Vision benefits 401K with Company Match 10 Paid Holidays Generous Paid Time Off Packages Employee Stock Purchase Plan Paid Parental & Family Leave and more! EEO Statement Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic. We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team. We’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.

Requirements

Must-haves

Assess our existing data ingestion and processing solutions (including Azure Event Hubs and Azure Databricks) and advise on the optimal stream processing frameworks to process high-velocity data efficiently and securely.
Use advanced distributed systems engineering to design and develop stateful stream processing applications that achieve sub-second deduplication of sensor broadcast messages across thousands of sensors.
Design and implement a robust schema registry and event-driven data modeling strategy to ensure consistency and high data quality across all sensor telemetry pipelines.
Build the technical data governance foundation within the streaming architecture, ensuring strict data lineage, metadata management, and auditability of data flows.
Collaborate with Data Science teams to operationalize and deploy real-time machine learning models (e.g., anomaly detection, predictive tracking) directly into the stream processing pipelines.
Develop processes and patterns to consume telemetry from ingestion layers while ensuring fault tolerance, zero data loss, and end-to-end latency from sensor to UI.
Partner with DevSecOps to ensure data-in-transit and in-memory state comply with strict CJIS, FIPS 140-3, and FedRAMP High standards.
Develop the technical skills of junior and mid-level team members by providing hands-on architecture reviews and mentorship.
Work directly with the geospatial data engineering and backend teams to design, implement, and validate pipelines that anonymize data in-stream and feed both real-time UIs and spatial databases.
Basic Requirements Bachelor s Degree OR 10 years experience.
Must be a US Citizen due to the nature of some contracts.
Travel Requirements None
Relocation Provided None
Position Type Experienced
Referral Payment Plan No
10 Paid Holidays
Generous Paid Time Off Packages
Employee Stock Purchase Plan

Nice-to-haves

Incentive Bonus Plans

Application prep

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Keywords to mirror

azuremachine learning

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401k