Principal Lead Architect

Ameriprise Financial Services, LLC

. Provide strategic leadership for enterprise data, analytics, and AI architecture .

Posted 10/30/2026full-timeNoida • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in enterprise data architecture, analytics, and AI, with a focus on developing scalable and compliant data ecosystems. Proven ability to lead modernization initiatives and establish data governance practices while mentoring teams and influencing strategic technology direction.

Highest-signal resume keywords

Enterprise Data ArchitectureAI And Analytics ExperienceAWS Cloud TechnologyData Governance PracticesComplex Solution Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModernizationData MigrationApplication RationalizationDatabase RationalizationCloud AdoptionData Quality ManagementMaster Data ManagementMachine Learning ArchitectureSemantic Data ModelsVector Data Stores

Soft Skills

Excellent Communication SkillsStrong Analytical SkillsAttention To DetailLeadershipMentoring

Tools & Technologies

Cloud EnvironmentsTransactional SystemsData PlatformsData EcosystemsEmerging Technologies

Certifications & Qualifications

Cloud Solution Architect Certification

Industry Keywords

Data GovernanceMetadata ManagementRegulatory ComplianceEnterprise ArchitectureCloud Delivery

Tech Stack

Tools & technologies

AWSAzureCloud

About the role

Key responsibilities & impact

Provide strategic leadership for enterprise data, analytics, and AI architecture
Define and govern scalable, secure, compliant data ecosystems across transactional systems, data platforms, and cloud environments
Lead data modernization programs, including legacy platform exits, data migrations, application and database rationalization, historical data retention, cloud adoption, and reporting and analytics modernization
Develop and maintain enterprise data, integration, and AI architecture vision, strategy, standards, and multi-year modernization roadmap
Establish data governance, metadata management, lineage, data quality, master data management, and regulatory compliance practices
Define AI-ready architecture patterns for analytics, machine learning, generative AI, knowledge graphs, semantic data models, vector data stores, and data products
Evaluate emerging technologies and guide cloud, data, analytics, and AI platform investments
Ensure scalability, resiliency, security, and operational excellence
Advise business and technology leaders on architecture, platform investments, innovation, and enterprise adoption
Mentor architects and engineering teams, drive architectural governance, and influence strategic technology direction

Requirements

What you’ll need

Bachelor’s degree or equivalent in Computer Science, Engineering, or related technical field; or related work experience
9–12 years of relevant experience required
Broad experience across cloud, network, and security engineering disciplines, with depth in at least one area
Exposure to cloud delivery
Knowledge of enterprise-wide architecture and ability to understand impacts on current and future technologies
Internal/external consulting experience spanning organizational boundaries and influencing technology and business leaders
Experience architecting, designing, implementing, and supporting complex enterprise solutions
Exposure to diverse technical configurations, technologies, and process improvements
Experience with AI and analytics required
Ability to explain highly technical solutions to technical and non-technical teams
Excellent communication skills and attention to detail
Ability to set direction and lead teams implementing complex architectures
Strong analytical skills for breaking down complex problems and designing appropriate solutions
AWS cloud technology experience required; Azure or Google Cloud exposure optional
Related cloud solution architect certification preferred

Benefits

Comp & perks

Inclusive, collaborative culture
Opportunities to make an impact at the office and in the community
Flexible work arrangement: work in the office at least three days per week and from home two days per week
Equal opportunity employer
Reasonable accommodation support during recruitment and interviews