Company Overview

At Motorola Solutions we believe that everything starts with our people. Were 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 thats 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

Job Description

We are seeking a Staff/Principal AI Data Architect to modernize our enterprise data ecosystem so it is ready to support building new AI and ML tools(e.g. automated classification/summarization agentic workflows and RAG for example). This role focuses on data readiness governance quality and secure access. You will define the standards contracts and observability that make structured and unstructured data trustworthy discoverable and easy to consume in batch and near-real-time contexts. Decisions about orchestration tooling are to be determined but we are currently focusing on using an Airflow-centric approach. The person in this role will help make decisions about data infrastructure implementation and tooling.

Responsibilities

Strategy and Standards

• Define the enterprise AI data architecture vision principles and reference architectures.

• Lead cross-functional reviews with IT security legal/privacy and business stakeholders to align on data readiness roadmaps.

Data Contracts Catalog and Modeling

• Establish data contracts for AI consumption (schemas semantics classifications SLAs) and govern schema evolution for backward compatibility.

• Make the data catalog the system of record for lineage ownership definitions and policy labels; integrate with intake/change management.

• Define standard data models and semantic conventions that improve joinability and reuse across domains.

Data Quality and AI Data Observability

• Implement an enterprise data quality framework and automated scorecards (freshness completeness accuracy consistency).

• Monitor for anomalies and schema drift; publish AI data readiness dashboards (catalog coverage lineage depth PII detection coverage contract adherence).

Pipelines Orchestration and Access

• Standardize patterns for ingestion processing storage serving and environment promotion using Airflow or other standard ETL/Orchestration tools and CI/CD for data workflows.

• Define secure consistent access patterns/APIs for downstream analytics and AI consumers.

Vector Search and RAG Readiness (Enablement)

• Drive the foundational architecture and standards necessary to enable advanced Retrieval Augmented Generation (RAG) and semantic search capabilities across the enterprise.

• Provide guidance for chunking/segmentation policies deduplication and hybrid search compatibility; downstream teams implement embeddings/vector stores.

Security Privacy and Compliance

• Define safe-access patterns for AI consumption to prevent sensitive data exposure.

• Enforce security baselines (encryption RBAC/ABAC masking/tokenization) and policy-as-code for access.

Financial Operations

• Architect for transparent cost attribution and controls (tagging storage tiering retention) to enable informed cost/performance choices by consumers.

• Assist leadership by making recommendations to improve efficiency and create automated triggers to identify planned budget allocation violations.

Collaboration and Mentorship

• Provide reference templates for AI-ready datasets contracts and catalog usage; mentor engineers and analysts on best practices.

• Collaborate with other system architects to ensure continued reliability and opportunities for overall ecosystem improvement.

Basic Requirements

• 8 years in data engineering/architecture/platform roles preferably >1 year at Staff/Principal level.

• Expert SQL and Python; track record building enterprise data governance contracts and quality frameworks.

• Experience operating production data platforms in batch/near-real-time with strong lineage and access control.

• Practical unstructured data governance (metadata standards classification PII detection/redaction).

• Hands-on with catalogs/lineage as systems of record for definitions ownership and policy.

• Familiarity with vector/RAG readiness concepts (schemas metadata provenance) without owning embeddings/model development.

• Experience with workflow orchestration (e.g. Airflow) and CI/CD/testing for data pipelines.

In return for your expertise well support you in this new challenge with coaching & development every step of the way.

Also to reward your hard work youll get:

• Competitive salary package

• Private medical & dental coverage

• Employee Pension Plan

• Life insurance

• Employee Stock Purchase Plan

• Flexible working hours

• Strong collaborative culture

• Comfortable work conditions (high-class offices parking space)

• Volleyball field and grill place next to the office

• Access to wellness facilities and integration events as well as training and broad

• Development opportunities

#LI-LB1

Travel Requirements

Relocation Provided

Position Type

Referral Payment Plan

Company

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 youd like to join our team but feel that you dont quite meet all of the preferred skills wed still love to hear why you think youd be a great addition to our team.