AI, data & integration jobs worldwide

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.

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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, 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

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Travel Requirements

None

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Relocation Provided

None

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Position Type

Experienced

Referral Payment Plan

No

Company

Motorola 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.