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Amphenol Communications Solutions

Enterprise Data Architect

Markham, ON, Canada

The base salary range for this position is $133,000 - $150,000 annually. · Full-time

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Job details

Pay: The base salary range for this position is $133,000 - $150,000 annually.
Job type: Full-time
Apply by: Nov 7, 2026
Experience: 7+ years of progressive experience in data architecture, data engineering, analytics architecture, or related discipline.
Posting language: English
Posted: Oct 8, 2026

Original job description

Location: Markham, ON Posted: 10/8/2026 Location Name: HSIO-Markham

Wage Max: 150,000.00 Annual Wage Min: 133,000.00 Annual

Amphenol Communications Solutions (ACS), a division of Amphenol Corporation, is a world leader in interconnect solutions for Communications, Mobile, RF, Optics, and Commercial electronics markets. Amphenol Corporation is one of the world’s largest designers and manufacturers of electrical, electronic and fiber optic connectors and interconnect systems, antennas, sensors and sensor-based products and coaxial and high-speed specialty cable. ACS has an expansive global presence in research and development, manufacturing, and sales. We design and manufacture a wide range of innovative connectors as well as cable assemblies for diverse applications including server, storage, data center, mobile, RF, networking, industrial, business equipment, and automotive.

Amphenol is one of the largest manufacturers of interconnect products in the world. The Company designs, manufactures and markets electrical, electronic and fiber optic connectors, coaxial and flat-ribbon cable, and interconnect systems. The primary end markets for the Company's products are communications and information processing markets, including cable television, cellular telephone and data communication and information processing systems; aerospace and military electronics; and automotive, rail and other transportation and industrial applications.

Amphenol Communications Solutions (ACS), a division of Amphenol Corporation, is a world leader in interconnect solutions for Communications, Mobile, RF, Optics, and Commercial electronics markets. Amphenol Corporation is one of the world’s largest designers and manufacturers of electrical, electronic and fiber optic connectors and interconnect systems, antennas, sensors and sensor-based products and coaxial and high-speed specialty cable. ACS has an expansive global presence in research and development, manufacturing, and sales. We design and manufacture a wide range of innovative connectors as well as cable assemblies for diverse applications including server, storage, data center, mobile, RF, networking, industrial, business equipment, and automotive.

Amphenol High Speed Products Group is the market leader for high-speed IO products. Our products help to enable the electronics revolution and remain a key enabler for all the major Tier 1 OEMs globally.

Position Summary

We are seeking an Enterprise Data Architect to join our IT Applications team. This role will establish a secure, scalable, governed, and business-driven data foundation across ERP, MES, manufacturing, quality, supply chain, finance, and other enterprise applications. The successful candidate will play a key role in transforming toward a modern enterprise data platform, enabling trusted enterprise analytics, operational intelligence, automation, and future AI capabilities.

Responsibilities

Enterprise Data Architecture

Design scalable data architecture across ERP, MES, applications, databases, APIs, files, and manufacturing data sources.
Establish standards for data integration, modeling, storage, movement, and consumption.
Design enterprise data models, dimensional models, canonical models, and semantic models.
Establish architecture standards for Azure, Microsoft Fabric, Azure SQL, OneLake, Lakehouse, Warehouse, and related technologies.
Develop architecture patterns supporting multiple manufacturing locations and future global expansion.

Data Governance & Master Data

Establish and continuously improve the Enterprise Data Governance framework, including:
Data ownership and stewardship
Data domains, definitions, and business glossaries
Metadata management, data catalog, and data lineage
Data classification, retention, and lifecycle managementData governance policies, standards, and operating model
Data quality monitoring and remediation

Work closely with business stakeholders to establish a single source of truth for critical enterprise KPIs and data elements.

Align master data validation and reconciliation across ERP, MES, and enterprise systems.

Data Security, Privacy & Compliance

Design and implement enterprise data security architecture, including:
Microsoft Entra ID
Role-Based Access Control (RBAC)
Workspace and database security
Row-Level Security (RLS) and column-level security where applicable
Data classification, sensitive data protection, and access management
Data loss prevention (DLP), auditability, and security monitoring
Data access reviews and compliance requirements

Partner with IT Security, Compliance, Infrastructure, and business stakeholders to protect data while keeping it accessible to authorized users.

Support audit-ready data security controls and access governance.

Automation, Data Quality & Operational Intelligence

Develop automation capabilities using APIs, workflow automation, automated notifications, data quality alerts, access workflows, approval workflows, monitoring, and exception management.
Establish a data quality framework covering:
Completeness, accuracy, consistency, timeliness
Duplicate detection
Master data validation and reconciliation
Data quality dashboards, automated exception reporting, and root-cause analysis

Qualifications

BS in Information Systems, Computer Science, Engineering, Business, or related field.
7+ years of progressive experience in data architecture, data engineering, analytics architecture, or related discipline.
Strong experience designing enterprise data architecture.
Strong Microsoft Azure data platform experience.
Hands-on experience with Microsoft Fabric: OneLake, Lakehouse, Warehouse, Data Factory.
Strong experience with Azure SQL / SQL Server and strong SQL skills.
Strong experience with Power BI and enterprise semantic models, including DAX, RLS, and Direct Lake.
Strong understanding of data modeling and dimensional modeling.
Experience with data integration, ETL/ELT, APIs, data pipelines, and orchestration.
Experience with data governance, data security, lineage, metadata, data cataloging, and data quality.
Experience with Microsoft Entra ID, RBAC, and enterprise access controls.
Experience with iPass (i.e. Boomi, MuleSoft) or similar workflow automation and integration technologies.

ATTRIBUTES

Strategic thinking and enterprise data architecture
Strong analytical and problem-solving skills
Hand-on technical expertise
Ownership and accountability
Execution and results orientation
Priority and time management
Collaboration and teamwork

Position: Enterprise Data Architect

Location: Markham/Hybrid

Reports To: Director of IT Applications

Come join the Amphenol family!

The base salary range for this position is $133,000 - $150,000 annually. In determining the rate of pay, Amphenol considers a variety of nondiscriminatory factors, including but not limited to geographic location, relevant industry experience, qualifications, skills, and education. It would be rare for an individual to be hired at or near the top of the range for a given role. Base salary is one facet of Amphenol's total rewards package which includes participation in our comprehensive benefits program with medical, dental, and vision benefits, vacation, sick leave, paid holidays, life insurance, short/long term disability, and membership in our Defined Contribution Pension Plan.

Amphenol Corporation is proud of our reputation as an excellent employer. Our main focus is to provide the highest level of support and responsiveness to both our employees and our customers. Amphenol Corporation offers the opportunity for career growth within a global organization. We believe that Amphenol Corporation is unique in that every employee, regardless of his or her position, has the ability to positively impact the business.

Amphenol Corporation is proud of our reputation as an excellent employer. Our focus is to provide the highest level of support and responsiveness to both our employees and our customers, the world's largest technology companies. Amphenol Corporation offers the opportunity for career growth within a global organization. We believe that Amphenol Corporation is unique in that every employee, regardless of his or her position, has the ability to positively impact the business.

Amphenol is an “Equal Opportunity Employer” - Minority/Female/Disabled/Veteran/Sexual Orientation/Gender Identity/National Origin. For additional company information please visit our website at https://www.amphenol-cs.com/

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More about this job

Responsibilities

Design and establish a secure, scalable enterprise data architecture across ERP, MES, manufacturing, and other business systems, including data models, integration standards, and Azure and Microsoft Fabric platform patterns. Lead data governance, master data, security, and quality practices, while enabling automation, trusted analytics, operational intelligence, and future AI capabilities.

Requirements

Requires a bachelor’s degree in a relevant field and at least seven years of progressive experience in data architecture, data engineering, analytics architecture, or a related discipline. Candidates should have strong Azure, Microsoft Fabric, SQL Server/Azure SQL, Power BI, data modeling, integration, governance, security, and data quality experience.

Skills

Enterprise Data Architecture
Microsoft Azure
Microsoft Fabric
Data Modeling
SQL
Power BI
DAX
Data Integration
ETL/ELT
Data Governance
Data Security
Data Quality
Microsoft Entra ID
Role-Based Access Control
API Integration
Workflow Automation

Benefits

Medical Benefits
Dental Benefits
Vision Benefits
Vacation
Sick Leave
Paid Holidays
Life Insurance
Short-Term Disability
Long-Term Disability

Visa sponsorship

Not detected in the job text

Keywords

Enterprise Data Architecture
Microsoft Azure
Microsoft Fabric
OneLake
Lakehouse
Data Warehouse
Azure SQL
SQL Server
Power BI
DAX
Direct Lake
ERP
MES
Data Modeling
Dimensional Modeling
ETL/ELT
Data Pipelines
APIs
Data Factory
Data Governance
Master Data Management
Metadata Management
Data Catalog
Data Lineage
Data Quality
Microsoft Entra ID
Role-Based Access Control
Row-Level Security
Data Loss Prevention
Boomi

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