Principal Architect & Data Engineer

Motorola Solutions
Toronto
Workplace: RemoteFull timeCAD 160,000 - 170,000 annuallyFunction: Software EngineeringExperience: 10+ yearsSkills: ["Technical mentorship","Executive communication","Strategic thinking","Cross-team leadership","Ability to simplify complex topics"]

Lead the technical strategy and engineering to unify data silos into a federated enterprise data intelligence platform. Own lakehouse architecture evolution (Iceberg/Delta), design data mesh governance and data trust/observability standards, and guide agentic AI frameworks and enterprise AI registries. Provide senior technical mentorship, align data products and ML models to KPIs, and communicate architectural roadmaps and security risk assessments to executive leadership and the Board.

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Motorola Solutions
Motorola Solutions
2 months ago

Principal Architect & Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 36 days agoStatus: Live

Job Summary

Lead the technical strategy and engineering to unify data silos into a federated enterprise data intelligence platform. Own lakehouse architecture evolution (Iceberg/Delta), design data mesh governance and data trust/observability standards, and guide agentic AI frameworks and enterprise AI registries. Provide senior technical mentorship, align data products and ML models to KPIs, and communicate architectural roadmaps and security risk assessments to executive leadership and the Board.
Location: Toronto
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Unify disparate storage and compute into a high-performance lakehouse architecture supporting Iceberg/Delta Lake.
  • •Scale internal agentic frameworks and registry; design a data mesh with governed data zones for independent business-unit innovation.
  • •Define data trust and observability standards (contracts, metrics) for structured and unstructured data in batch and near-real-time contexts.
  • •Set global standards for high-performance query analytics, data modeling, and “Zero-Copy” architecture patterns; mentor intermediate and senior architects and engineers.
  • •Present architectural roadmaps, ROI projections, and security risk assessments to senior leadership and the Board; map data products and ML models to corporate KPIs.

Pay and Benefits

Salary: CAD 160,000 - 170,000 annually

Key Requirements

  • •10+ years of experience in data engineering and/or data architecture, including 1+ years at a staff or principal level.
  • •5+ years of experience in the AWS Redshift ecosystem.
  • •Mastery of Python, SQL, and Spark, including workflow orchestration (e.g., Airflow), infrastructure as code (Terraform/CloudFormation), and CI/CD testing pipelines.
  • •Deep hands-on expertise in AWS (S3, Glue, Redshift, Bedrock) or Google Cloud (BigQuery, Vertex AI).
  • •Expert knowledge of federated query engines, semantic layers, and modern “Zero-Copy” data sharing.
Experience:10+ yearsData engineeringData architectureData platformEnterprise dataCloudAgentic AIGenerative AIData governance
Skills:Technical mentorshipExecutive communicationStrategic thinkingCross-team leadershipAbility to simplify complex topics
Tech Stack:PythonSQLSparkAirflowTerraformCloudFormationCI/CDAWSS3GlueRedshiftBedrockGoogle CloudBigQueryVertex AIIcebergDelta LakeData MeshTableauAgentic AI

Company Brief

Motorola Solutions
Provides mission-critical communications products and services, including radios, software, video security, and command center solutions for public safety, government, and enterprise customers worldwide.
Industry: Surveillance & Security Hardware
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Chicago, United States
Founded: 1928
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Glassdoor: 3.7
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