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Sr Solution Architect Data & Analytics​/Cloud​/AI

Job in South Naperville Area, Will County, Illinois, 60564, USA
Listing for: Bank of Montreal
Part Time position
Listed on 2026-09-01
Job specializations:
  • IT/Tech
    Data Engineering, Information Security & Data Protection, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 112000 - 209000 USD Yearly USD 112000.00 209000.00 YEAR
Job Description & How to Apply Below
Position: Sr Solution Architect - (Data & Analytics / Cloud/ AI)
Final date to receive applications:09/27/2026

Address:1200

E. Warrenville Road Job Family Group:

Technology Position Summary Seeking an experienced Solution Architect to provide architecture leadership across enterprise Data & Analytics initiatives. The role will be responsible for defining end-to-end solution architectures, establishing technology standards, driving cloud data platform modernization, and ensuring secure, scalable, and compliant data solutions. The Solution Architect will work closely with business stakeholders, product teams, engineers, security teams, and enterprise architects to deliver strategic data capabilities that support analytics, reporting, AI/ML, and digital transformation objectives.

Key Responsibilities Define and govern end-to-end architecture for Data & Analytics solutions across cloud and hybrid environments.

Develop architecture blueprints, conceptual, logical, and physical solution designs using enterprise architecture tools such as iServer , LeanIX, Orbus Infinity, or equivalent. Having iServer is plus.

Lead architecture reviews, design governance, and solution assessments to ensure alignment with enterprise standards and target-state architecture.

Design and implement scalable data platforms supporting data ingestion, transformation, storage, governance, analytics, and AI/ML workloads.

Partner with business and technical stakeholders to translate requirements into architecture roadmaps and implementation plans.

Provide technical leadership across multiple DnA initiatives, identifying risks, dependencies, and optimization opportunities.

Required Technical Capabilities Cloud Data Platforms

Experience with AWS services including:

S3, Redshift, Glue, Athena, Lake Formation Lambda, Step FunctionsIAM, KMS, Secrets Manager Event Bridge  and data streaming services

Exposure with Microsoft Azure services including:

Azure Data Lake Storage (ADLS)
Microsoft Fabric Data Integration & Movement Experience designing enterprise-scale ETL/ELT solutions.

Knowledge of file transfer and integration technologies:

Managed File Transfer (MFT) solutions API-based integrations (REST, SOAP)
Event-driven and streaming architectures

Experience integrating SaaS, on-premises, and cloud-based applications.

Data Security & Governance Expertise in enterprise data security and compliance practices.

Experience implementing:

Data encryption at rest and in transit

Key management solutions

Role-Based Access Control (RBAC)
Attribute-Based Access Control (ABAC)
Data masking and tokenization

Data classification and retention policies

Audit, monitoring, and compliance controls

Familiarity with regulatory and governance frameworks such as CCPA, HIPAA, SOX, and internal security standards.

Architecture & Design Strong understanding of:

Data Lake, Lakehouse, and Data Warehouse architectures

Enterprise Integration Patterns API-first architectures

Microservices and event-driven architectures

Real-time and batch data processing

Data Mesh and Data Fabric concepts

Experience documenting architecture artifacts, capability maps, application inventories, technology roadmaps, and reference architectures.

Architecture Governance & Data strategy

Experience in presenting complex solution to Architecture Review Board or similar and getting approved.

Experience in getting Architecture Alignment from various stake holder.

Experience in simplifying complex data problem and strategy into solution.

Have understanding of Organization wide data domain, data flow like. Customer, account, products, transactions etc and how to make meaningful outcome on data.

Clear vision and thinking of Data driven decision.

Key AI architecture areasAI reference architectures and integration patterns, AI application design, AI security, governance, and responsible AI practices
* We are specifically seeking a Solution Architect with data expertise , rather than a Data Engineer .Salary :$ - $

Pay Type:

Salaried The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based…
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