Solution Architecture

Solution Architecture Data Jobs

3 jobs found

2d ago

Senior AI Engineer

Infosys United States

United States

2d ago

Full time Senior Artificial Intelligence Engineer

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Job Description

Infosys is hiring a Senior AI Engineer based in the United States (onsite) to work as an Architecture Consultant 2. In this role, you will shape solution architecture, guide integration strategies, and support build and deployment automation. The focus is on creating scalable and secure architectures, evaluating technologies, identifying risks early, and ensuring knowledge is transferred through quality-driven transitions.

What you’ll be doing

Join customer discussions to gather and analyze system requirements with an emphasis on performance, security, and scalability.
Recommend solution architecture approaches and contribute to technical framework development, supporting enterprise architecture definition and design creation.
Assess market technologies and tools, run comparative analyses against client business requirements, and help select optimal architectural solution options.
Participate in building integration strategies grounded in validation of proof of concept for proposed architectural solutions.
Enable a smooth transition by supporting knowledge transfer and adherence to quality standards, while contributing to the build and deployment automation strategy.
Collaborate with development teams to troubleshoot complex technical issues using solution deployment and roll-out methods across build, deployment, and support phases.
Analyze system performance outcomes based on implemented architectural solutions and contribute to identifying potential risks across the system landscape.
Create architectural framework and technical solution artifacts to strengthen the team knowledge repository.

What you bring

Ability to analyze, design, and develop scalable and secure architectures.
Strong aptitude for evaluating multiple technologies, tools, and frameworks to recommend optimal solutions.
Understanding of integration methodologies, proof-of-concept validation, and deployment strategies.
Ability to document architectural frameworks and solutions.
Proactive communication with internal teams and clients to keep alignment with business objectives.
Ability to stay current with up-to-date technical advancements to support relevant and effective recommendations.
Capability to maintain standards and support smooth transition through knowledge transfer.

How you’ll contribute to the team

You will bring architecture and integration expertise to deliver scalable, secure solutions, support informed technology decisions, and strengthen execution through documented frameworks, validated integrations, and quality-focused transitions.

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12d ago

Principal Data Engineer - Global Cybersecurity Data & Analytics

Liberty Mutual Columbus, OH

Columbus, OH

12d ago

$120k - $225k/yr Full time Analytics Business Analytics Business Intelligence

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Job Description

Liberty Mutual is hiring a Principal Data Engineer for its Global Cybersecurity Data and Analytics team in Columbus, OH (onsite). This role focuses on delivering actionable cybersecurity and governance insights through data engineering, architecture, pipelines, and interactive visualizations. You will have the opportunity to shape enterprise data foundations while working with modern cloud and analytics technologies.

Compensation: USD 120,000 - 225,000 per yearly. The typical starting salary range is determined by factors including skills, experience, education, certifications, and location. The full salary range reflects competitive labor market value and provides opportunities to progress as employees grow within the role. Some roles may include commission and/or bonus under the relevant compensation plan.

Responsibilities

Consult on designing and developing complex programs and tools for ingestion, curation, and provisioning of enterprise data to support analytics, reporting, and data science.
Build and design data architecture that improves accessibility, efficiency, governance, and data quality.
Collect, clean, and transform traditional and big data to improve accuracy and accessibility.
Recommend improvements for data practices and drive those recommendations forward.
Develop deep knowledge of technology enablers that support enterprise data and analytics.
Document existing processes, organizational structures, architectures, and external systems.
Contribute to the development and enhancement of solutions that support key business outcomes.
Create interactive, visually appealing data visualizations of large datasets to surface patterns, trends, and correlations.
Provide guidance on Power BI visualization capabilities and functionalities, and educate stakeholders on using visualizations.
Use AI tools to improve the speed, quality, and scale of work, while critically evaluating and validating outputs and applying AI responsibly to protect confidential and customer data.

Requirements

Bachelor’s or Master’s degree in a technical or business discipline (technical degree preferred) or equivalent experience.
Generally 8+ years of professional experience.
In-depth knowledge of IT concepts, strategies, and methodologies.
In-depth knowledge of diverse and emerging technologies and new architectural concepts and principles.
Knowledge of data engineering languages and tools, with proficiency in new and emerging technologies.
In-depth understanding of layered solution designs, shared data engineering concepts and product features, with security-minded thinking.
In-depth understanding of business operations, objectives, and strategies, including global business and technology trends in the financial services industry.
Strong negotiation, consensus building and influencing skills, plus facilitation and adaptability to respond to change.
Highly developed oral and written communication skills, including strong presentation skills.
Ability to collaborate effectively across all levels of the organization.
Solid Python (Pandas) and SQL skills with analytical and critical thinking, plus an understanding of big data technologies.
Understanding of machine learning principles, statistics, and algorithms.
Knowledge of Data Warehouse solutions, modeling, and governance.

Experience & Tools

Working knowledge of AWS, Azure, and GCP cloud environments.
Power BI development including DAX and M query, plus Power BI gateway.
Snowflake administration experience.
AWS Airflow experience.
Experience with ETL (extract, transfer, and load) and data pipeline technology.
Proven experience in data modeling, governance, and analytics.
Ability to leverage and build APIs.
Python programming knowledge and SQL query/data management experience.

Technologies

Power BI, DAX, M query, Power BI gateway
Snowflake
AWS Airflow, AWS, Azure, GCP
ETL, Python, Pandas, SQL
Power BI visualization tools, Machine learning, Data Warehouse solutions, APIs

Benefits

Comprehensive benefits
Workplace flexibility
Professional development opportunities
Opportunities through Employee Resource Groups
Benefits that support life and well-being
Equal opportunity employer

Fair chance notices: California; Los Angeles Incorporated; Los Angeles Unincorporated; Philadelphia; San Francisco.

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1mo ago

Data Scientist

New Wave People Manhattan, NY

Manhattan, NY

1mo ago Closed

$65 - $67/hr Contract Artificial Intelligence Azure Machine Learning Azure Openai

This position is no longer accepting applications (closed Sep 18, 2026).

Job Description

New Wave People is hiring a hands-on Data & AI Architect to design and deliver enterprise data and artificial-intelligence solutions with stakeholder engagement.

Responsibilities

Work with stakeholders across all departments to elicit, clarify, and shape emerging or ambiguous data and AI use cases into scoped opportunities.
Convert business needs into requirements documents that technical and non-technical audiences can understand and act on.
Present solution proposals, including trade-offs and value, to stakeholders and governance bodies, and drive requirements through formal approval.
Architect end-to-end data and AI solutions across ingestion, storage, transformation, modeling, serving, and consumption layers.
Design and implement solutions using agentic development tooling to accelerate delivery while maintaining quality, security, and maintainability.
Define reference architectures, patterns, and standards for data and AI across multi-cloud and multi-database environments.
Ensure enterprise alignment for security, privacy, data governance, cost efficiency, and regulatory compliance.
Collaborate with engineering, data science, platform, and product teams to move approved designs into production.
Mentor engineers and analysts, provide technical guidance, and promote strong data and AI practices across the organization.

Requirements

8+ years of experience in data engineering, data architecture, software engineering, or a closely related field, with 6+ years in an architecture-focused role.
Multi-cloud experience with hands-on design and delivery across at least two major cloud providers (Azure, AWS, GCP).
Multi-database experience across relational, NoSQL, analytical/warehouse, and vector or graph database technologies.
Multi-AI experience with practical work across AI/ML and generative-AI frameworks, models, and platforms (LLMs, ML pipelines, RAG, model orchestration).
Strong requirements-gathering and stakeholder-facing skills, including the ability to extract clarity from ambiguity and write actionable specifications.
Excellent written and verbal communication, with the ability to explain complex technical topics to non-technical audiences and secure buy-in.
Hands-on experience delivering solutions with agentic development tooling and AI-assisted development workflows.
Proven experience taking solutions from concept through approval to production implementation.

Technologies

Azure, AWS, GCP
Copilot-style AI development tooling, Copilot Studio, M365 Copilot, GitHub Copilot
Azure Data services, Synapse/Fabric
Azure OpenAI, Azure ML
LLMs, ML pipelines, RAG, model orchestration

Job Details

Location: Manhattan, NY (hybrid)
Schedule: Hybrid, 3 days onsite and 2 days remote
Type: Contract
Hours: M-F, 37.5 hours weekly
Compensation: USD 65 - 67 per hour
Unpaid lunch break
No holiday work, overtime, or travel required
No parking provided

Preferred Qualifications

Recent primary experience on the Microsoft Azure stack (Azure Data services, Synapse/Fabric, Azure OpenAI, Azure ML).
Hands-on development experience with Microsoft Copilot tooling (GitHub Copilot, Copilot Studio, M365 Copilot). Exceptional candidates without Copilot experience may be considered.
Experience in large, complex, public-sector, transit, or infrastructure organizations.
Relevant cloud or data architecture certifications.
Familiarity with enterprise data governance, MLOps, and responsible-AI practices.

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Solution Architecture Data Jobs

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Principal Data Engineer - Global Cybersecurity Data & Analytics

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