Data Quality & Pipeline Architect

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 OverviewMotorola Solutions, a Security Solutions company, provides trusted security solutions to the global market via a Business to Business model. This division comprises video security products under the Pelco, Multi-Sight, IndigoVision, and Avigilon brands, designing, developing, and manufacturing video analytics, network video management software and hardware, surveillance cameras, and access control solutions.
Job Description

We are seeking a Staff or Principal level Data Architecture Lead within the centralized IT Data Infrastructure team. This is a high-impact, high-visibility role, central to modernizing our data warehouse infrastructure and ecosystem for 2026 and beyond. You will be a key driver in ensuring our stakeholders have high confidence in the reliability, timeliness, and accuracy of our data, ultimately helping Motorola unlock our data to become fully AI and LLM ready.

Responsibilities

• Data Strategy & Leadership: Define the technical vision, standards, and reference architecture for the modern data warehouse and ecosystem. Lead cross-functional design reviews and report on platform performance and adoption.

• Data Quality & Governance: Design and implement enterprise-wide standards for data quality, pipeline integrity, and formal data contracts. Establish clear data models, enforce governance policies, and ensure the data catalog is the single source of truth for lineage and ownership.

• Platform Architecture & Optimization: Architect the end-to-end data platform for ingestion, processing, storage, serving, and governance across batch and streaming systems. Design and enforce data security standards, including encryption and access control. Forecast and optimize compute/storage costs, throughput, and system latency.

• Reliability & DevOps: Establish robust data monitoring (freshness, volume, schema drift) with automated alerting. Build for platform resilience, including data loading retries and a disaster recovery plan. Lead incident response, conduct post-mortems, and implement CI/CD pipelines for all data workflows, including automated testing.

• Mentorship and Collaboration: Create reference implementations and mentor junior engineers in data solution design. Partner effectively with business stakeholders to define requirements, compliance SLAs, and acceptance criteria.

Basic Requirements

• 7+ years of progressive experience in data engineering or analytics platform roles, with 2+ years in a dedicated Data Architecture, Principal, or Staff role.

• Bachelor’s or Master’s in Computer Science, Engineering, Mathematics, or a related field; or equivalent practical experience.

• Demonstrated leadership designing and rolling out enterprise data quality and pipeline standards at scale.

• Expert proficiency in SQL and Python (or a similar major language like Scala/Rust), with the ability to review and guide code quality and performance.

• Proven experience operating both batch and streaming data systems in production, with end-to-end accountability for reliability and data trust.

Nice to haves

• Deep architectural experience with a Cloud Data Warehouses (e.g., Snowflake, Databricks, Redshift, Google, etc) and its ecosystem.

• Prior experience with the data documentation and governance platform Alation.

• Experience building statistical methods for detecting data quality shifts.

• Familiarity with SOX and GDPR reporting standards.

• Experience building exactly‑once processing systems.

• Infrastructure-as-code: AWS CloudFormation, AWS CDK, or Terraform; containerization with Docker and Kubernetes familiarity.

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

Also, to reward your hard work you’ll 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 RequirementsNone
Relocation ProvidedNone
Position TypeExperienced

Referral Payment PlanNo

CompanyMotorola Solutions Systems Polska Sp.z.o.o

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.