Data Driven Model Driven Jobs Remote Jobs in Usa

Our client is a $28B NY based multi-strategy Hedge Fund currently seeking to add a talented Associate to their Data & Performance Analytics Team. This individual will be working closely with senior managers across finance, investment management, operations, technology, investor services, compliance/legal, and marketing.

Responsibilities

• This role will be responsible for Compiling periodical fund performance analyses
• Review and analyze portfolio performance data, benchmark performance and risk statistics
• Review and make necessary adjustments to client quarterly reports to ensure reports are sent out in a timely manner
• Work with all levels of team members across the organization to help coordinate data feeds for various internal and external databases, in effort to ensure the integrity and consistency of portfolio data reported across client reporting systems
• Apply queries, pivot tables, filters and other tools to analyze data.
• Maintain client relationship management database and providing reports to Directors on a regular basis
• Coordinate submissions of RFPs by working with RFP/Marketing Team and other groups internally to gather information for accurate data and performance analysis
• Identifying opportunities to enhance the strategic reporting platform by gathering and analyzing field feedback and collaborating with partners across the organization
• Provide various ad hoc data research and analysis as needed.

Desired Skills and Experience

• Bachelor’s Degree with at least 2+ years of Financial Services/Private Equity data/client reporting experience
• Proficiency in Microsoft Office, particularly Excel Modeling
• Technical knowledge, data analytics using CRMs (Salesforce), Excel, PowerPoint
• Outstanding communication skills, proven ability to effectively work with all levels of Managment
• Comfortable working in a fast-paced, dead-line driven dynamic environment
• Innovative and creative thinker
• Must be detail oriented

If interested in position, please fill out this form: description

Join the Future of Healthcare at MedWatchers

MedWatchers is a technology-forward leader delivering integrated care solutions that improve lives across Medicare, Medicaid, and Commercial markets. With a growing portfolio of 30+ clinical service lines and a flexible delivery model—ranging from full SaaS, hybrid solutions, to fully delegated services—we help payers close gaps, enhance outcomes, exceed quality benchmarks and demonstrate clear return on investment (ROI) through data-backed interventions.

Our comprehensive suite includes:

• CMAPP, our cloud-based care management platform
• Advanced analytics and risk-based targeting to derive ROI
• Omnichannel member and provider engagement
• Clinical services delivered by a team of 180+ licensed pharmacists, fluent in 30+ languages and dialects

We’re trusted by over 60 national and regional health plans—including the six largest payers in the U.S.

As we scale, we’re expanding our San Diego-based Technology Team across multiple positions. We’re hiring engineers and scientists to build impactful products and develop the next generation of intelligent healthcare technology in San Diego.

Software Engineer (various levels)

Roles: Software Engineer, Product Technologist, Full Stack Developer (Title and level will be commensurate with your education and experience)

Location: Onsite – San Diego, CA (No remote)

Salary Range: $160,000– $200,000 (based on experience and skills) + Annual Bonus

PHD required in Computer Science, Data Science, Engineering, or a related field

Overview

Join our San Diego-based engineering team to design and build robust, scalable technology platforms that support clinical workflows, member engagement, and real-time healthcare analytics. You’ll work across the stack, collaborating with product, data, and clinical teams to deliver impactful features in a fast-moving, mission-driven environment.

Key Responsibilities

• Develop and maintain full-stack web applications with clean, testable code
• Design and implement RESTful APIs and backend services
• Build responsive, component-based user interfaces using modern JavaScript frameworks
• Work with cloud-native tools and infrastructure for scalable deployment
• Participate in code reviews, technical design discussions, and agile ceremonies
• Collaborate cross-functionally with product managers, clinicians, and data teams
• Ensure performance, reliability, and security of deployed applications
• Contribute to platform architecture decisions as the product scales

Representative Technologies (familiarity with similar tools is welcome)

• Frontend: JavaScript (React, Angular, Vue)
• Backend: Node.js, Express, Python (Flask, FastAPI), Go, Rust
• Databases: PostgreSQL, MongoDB, Redis
• Cloud Platforms: AWS, Azure, GCP
• DevOps & Tooling: Git, CI/CD pipelines, Docker, Kubernetes

Ideal Experience

• Strong programming fundamentals and debugging skills
• Proven experience in full-stack application development
• Familiarity with modern deployment workflows and cloud services
• Agile team collaboration and iterative product delivery
• Bonus: Exposure to healthcare data, APIs, or workflows

We offer a comprehensive benefits package, including:

• 401(k) with company matching
• Health, dental, and vision insurance
• Paid time off (PTO)
• Tuition reimbursement
• Employee discounts

Job Title: Construction Manager – Data Centers (AI & GPU Infrastructure)

Location: Austin, Texas

The company

A fast-growing, elite infrastructure platform working with the world’s leading AI labs, governments, and enterprises is hiring a Data Center Construction Manager to lead execution of next-generation GPU data center builds across multiple geographies.

This is a hands-on, owner-side role for construction leaders who thrive in the field, move fast, and deliver complex projects under extreme power and cooling demands. If you’ve built hyperscale, semiconductor, or mission-critical facilities and want to operate at the bleeding edge of AI infrastructure, this role delivers.

The position

• Lead day-to-day site execution for greenfield and brownfield data center builds
• Build and drive integrated schedules (Primavera P6 / MS Project) across design, procurement, construction, and commissioning
• Enforce a zero-incident safety culture across all contractors and trades
• Coordinate CSA and MEP scopes, resolving field conflicts in real time
• Track daily progress, cost, earned value, and resources; issue recovery plans as needed
• Oversee QA/QC, material submittals, RFIs, and change orders
• Interface closely with Design, Procurement, Commissioning, and Operations teams
• Develop scopes of work and technical exhibits for critical-path trades
• Manage construction contracts from award through close-out, ensuring budget, schedule, and spec compliance

Could this role be for you?

• Bachelor’s degree in Engineering (Construction Management preferred)
• 7+ years delivering hyperscale, semiconductor, or mission-critical construction projects
• Deep understanding of CSA & MEP execution, procurement workflows, and cost controls
• Proven success on fast-track, multi-site or multi-region builds
• OSHA 30 (or equivalent); strong familiarity with NFPA 70E, local codes, and permitting
• Strong field leadership and subcontractor management skills
• Ability to read BIM/Revit models and interpret IFC packages on the fly
• Willingness to travel 50%+ to active project sites

Why apply?

• Build GPU-dense, AI-driven data centers at global scale
• True site ownership — execution authority, not oversight
• Fast-track projects with elite design, procurement, and ops teams
• Work directly on infrastructure enabling frontier AI development
• Highly competitive base salary: $130,000 – $230,000 (experience, location dependent)
• Equity participation as part of total compensation
• Health, dental, and vision insurance
• Retirement or pension plan (region-aligned)
• Generous PTO policy

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 550 million users around the world and 300 billion ideas saved, Pinterest Machine Learning interns help build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

As a machine learning intern at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: image recognition, user modeling, recommender systems,search, ads, ranking, natural language processing, neural networks, personalization, graph representation learning, and big data analytics.

Note to applicants:

By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.

Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.

We offer 2 internship start dates:

• 
  
• May 18, 2026 - August 7, 2026
  
• June 15, 2026 - September 4, 2026
  

What you'll do:

• 
  
• Lead your own project start to finish to contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
  
• Collect, analyze, and synthesize findings from data and build intelligent data-driven models
  
• Write clean, efficient, and sustainable code
  
• Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search
  
• Scope and independently solve moderately complex problems
  
• Demonstrate accountability for the quality and completion of your tasks and projects, collaborating with your team and seeking guidance as needed.
  

What we're looking for:

• 
  
• Working towards a PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
  
• Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
  
• Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
  
• Experience in research and in solving analytical problems
  
• Strong communicator and team player with the ability to find solutions for open-ended problems.
  
• Preferred Qualifications:
  
  • 
    
  • Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
    
  • Interest in research and in applying ML to impactful real-world problems on the Pinterest product
    
  
  
  

Why Intern at Pinterest?

• 
  
• Meaningful Work: Contribute to projects that impact millions of users worldwide.
  
• Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
  
• Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection
  
• This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.
  
  

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only

The salary for this position is $12,100 monthly.

#LI-HYBRID
#LI-EB1

Our Commitment to Inclusion:

Must be based in Miami, FL and available to work on-site 3X per week.

We Are Lucky Strike Entertainment.

Bowling, Arcade, Family Entertainment Centers. One company. Twelve brands. A career built around unforgettable experiences. Hospitality at our core; we put people first by creating meaningful connections and delivering memorable experiences to every guest, every time.

The Senior Vice President of Revenue Management & Pricing will lead the development and execution of enterprise pricing and revenue optimization strategies across the organization’s portfolio of entertainment venues. This executive will be responsible for driving sustainable revenue growth and margin expansion through dynamic pricing, advanced analytics, and AI-powered pricing solutions that respond to real-time demand signals.

This role will oversee revenue management, pricing strategy, commercial analytics, and pricing technology to ensure the organization maximizes yield across dayparts, seasonal demand, and customer segments. The SVP will partner closely with Marketing, Finance, Operations, and Technology to build a sophisticated pricing ecosystem that leverages automation, machine learning, and predictive analytics to continuously optimize performance while delivering strong customer value and engagement.

What You’ll Do

Strategic Revenue & Pricing Leadership

• Design and implement a comprehensive revenue management and pricing strategy aligned with company goals for revenue growth, margin optimization, and guest value perception.
• Lead the evolution from static pricing to dynamic, demand-based pricing models that consider factors such as daypart, demand elasticity, seasonality, location performance, and customer segmentation.
• Establish pricing governance frameworks to guide promotional strategy, discount structures, and enterprise pricing policies.
• Develop testing and experimentation frameworks to continuously refine pricing strategies through data-driven insights.

AI-Driven Pricing & Technology Innovation

• Lead the implementation and optimization of AI-powered pricing solutions that leverage machine learning, predictive modeling, and real-time demand signals.
• Evaluate and deploy pricing technology platforms capable of automated price adjustments based on utilization, booking velocity, weather, competitive data, and historical trends.
• Partner with Product and Technology teams to integrate AI pricing capabilities with POS systems, reservation platforms, CRM systems, and loyalty platforms.
• Champion a data-first culture by embedding automation and advanced analytics into everyday pricing and revenue decisions.
• Ensure pricing systems are scalable, automated, and capable of adapting to rapidly changing demand conditions across all locations.

Analytics & Revenue Optimization

• Build and oversee advanced pricing models using statistical forecasting, machine learning, and predictive analytics.
• Monitor pricing performance against key metrics including revenue per location, yield per lane or experience, utilization rates, contribution margin, and customer lifetime value.
• Conduct competitive and market pricing analysis to ensure optimal positioning across markets.
• Partner with FP&A to forecast the financial impact of pricing strategies and track performance against revenue and margin targets.
• Lead commercial analytics initiatives to uncover insights across pricing, promotions, guest behavior, and market demand patterns.

Loyalty & Customer Value Programs

• Collaborate with Marketing and Customer Experience teams to align loyalty strategy with revenue management and pricing initiatives.
• Leverage loyalty and guest data to inform personalized pricing strategies, promotions, and targeted offers.
• Analyze loyalty program performance and customer engagement trends to improve retention, visitation frequency, and lifetime value.
• Integrate loyalty insights into dynamic pricing models to deliver value while maximizing revenue.

Operational Execution

• Partner with regional and location leadership to ensure pricing strategies are practical, executable, and aligned with local market dynamics.
• Ensure pricing strategies can be seamlessly deployed across all locations through centralized systems and automation.
• Establish operational processes for pricing updates, approvals, and exception management.
• Support field teams with clear communication, training, and tools to ensure consistent pricing execution.

Cross-Functional Collaboration

• Work closely with Marketing to align promotional strategies, campaigns, and offers with enterprise pricing strategy.
• Partner with Operations to ensure pricing models align with operational realities and guest experience expectations.
• Collaborate with Technology and Product teams on system requirements for pricing automation, forecasting tools, and advanced analytics.
• Provide executive leadership with insights on pricing trends, market conditions, and revenue optimization opportunities.

Leadership & Team Development

• Build and lead a high-performing team focused on revenue management, pricing strategy, and commercial analytics.
• Develop internal capabilities in advanced analytics, pricing science, and AI-enabled revenue optimization.
• Foster a culture of innovation, experimentation, and data-driven decision making across the organization.

What You’ll Bring

• 10+ years of experience in revenue management, pricing strategy, or commercial analytics roles within multi-location, consumer-facing industries such as hospitality, entertainment, travel, retail, or leisure.
• Proven track record designing and scaling dynamic pricing strategies across large multi-unit environments.
• Experience implementing AI-driven pricing platforms, predictive analytics tools, or automated revenue management systems.
• Strong analytical expertise in pricing optimization, demand forecasting, elasticity modeling, and customer segmentation.
• Demonstrated leadership experience building and managing high-performing teams.
• Ability to influence senior executives and collaborate cross-functionally with operations, finance, marketing, and technology leaders.
• Experience integrating pricing systems with POS platforms, CRM systems, loyalty platforms, and enterprise analytics tools.

Key Metrics of Success

• Revenue growth and margin expansion driven by pricing and revenue management strategies.
• Increased yield per location across peak and off-peak demand periods.
• Improved utilization through demand-based and AI-driven pricing optimization.
• Higher customer retention and engagement through personalized value-based pricing.
• Seamless deployment of pricing updates across all locations with minimal operational disruption.
• Development of a scalable, automated pricing infrastructure powered by advanced analytics and AI.

What You’ll Get

At Lucky Strike Entertainment, we’re committed to supporting your well-being both on and off the job. Here's a peek at some of the benefits available to our Corporate associates:

• Medical, Dental, Vision plans to select from based on your needs
• Wellness resources to help you along your wellness journey
• 401(K) Retirement Plans
• Employee Stock Purchase Program
• Employee Assistance Program (EAP)
• Vacation and Holidays
• Perks! Bowling, Boomer's, and Waterpark discounts, Retail discounts, Event discounts and more!

At Rite-Hite, your work makes an impact. As the global leader in loading dock and door equipment, we design and deliver solutions that keep our customers safe, secure, and productive. Here, you'll find innovation, stability, and the chance to grow your career as part of a team that's always looking ahead.

Rite-Hite is a global leader in industrial safety and efficiency solutions. As part of our digital transformation journey, we are seeking a Systems Architect, Edge AI/ML to help build and scale intelligent systems that deliver real-time insights, automation support, and customer value at the edge of industrial environments.

The Systems Architect, Edge AI/ML is responsible for defining and guiding the architecture for artificial intelligence and machine learning deployed on devices and edge platforms. This role ensures that AI/ML solutions are scalable, reliable, secure, and aligned with enterprise product and platform objectives.

The architect partners closely with product management, device and edge software teams, data and cloud teams, and digital solution leaders to translate business and customer requirements into robust AI/ML foundations that enable consistent behavior, efficient lifecycle management, and high-quality user experiences across industrial environments.

CORE RESPONSIBILITIES

• Define and maintain reference architectures, design patterns, and standards for deploying AI and ML models on edge devices and platforms.
• Establish common approaches for data ingestion, feature pipelines, model inference, performance optimization, and lifecycle management at the edge.
• Ensure architectural decisions support real-time operation, scalability, reliability, safety, and security.

• Drive the strategic use of AI and ML at the edge by establishing repeatable patterns for model development, deployment, monitoring, and update.
• Own a portion of the internal technology radar related to AI/ML, edge analytics, and sensing technologies.
• Foster a culture of responsible, ethical, and transparent AI practices aligned with cybersecurity, privacy, and safety requirements.

• Partner with product management and engineering teams to enable AI-driven capabilities such as condition monitoring, vision-based sensing, anomaly detection, and predictive insights.
• Guide architectural decisions related to edge compute constraints, sensor integration, and real-time inference workloads.
• Promote reuse and consistency of AI/ML components across products and platforms.

• Define patterns for integration between edge AI/ML solutions, device software, hybrid mobile applications, and enterprise or cloud-based platforms.
• Ensure solutions support online, offline, and hybrid deployment models common in industrial environments.
• Promote interoperability with internal systems and approved third-party technologies.

• Define secure-by-design and safety-aligned principles for AI/ML model deployment and operation at the edge.
• Ensure alignment with applicable safety, quality, and industrial cybersecurity standards.
• Participate in architecture and design reviews to assess risk, resilience, and compliance.

• Collaborate across product management, device and edge software, data science, cloud platforms, manufacturing, service, and mobile application teams.
• Provide technical leadership, mentorship, and guidance to engineers and teams working with AI/ML technologies.
• Serve as a technical advisor in strategic customer conversations and enterprise implementations when appropriate.

• This role does not have direct reports but is expected to provide technical leadership and architectural guidance across multiple teams.

QUALIFICATIONS

Education & Experience

• Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, Data Science, or a related technical field required; Master's degree preferred.
• 8+ years of experience delivering AI/ML-enabled solutions, with demonstrated experience deploying models in edge or resource-constrained environments.
• Experience with industrial, connected, or safety-critical systems preferred.

Knowledge / Skill Requirements

• Strong understanding of AI/ML architectures, model lifecycle management, and real-time inference at the edge.
• Experience designing systems that balance performance, accuracy, latency, and resource constraints.
• Ability to think systemically across sensors, devices, edge platforms, mobile applications, and cloud services.
• Strong communication skills and ability to influence cross-functional stakeholders.
• Familiarity with industrial automation, IoT ecosystems, or computer vision is a plus.

Leadership & Collaboration:

• Visionary technical leader who can inspire cross-functional teams and align stakeholders to a shared product vision.
• Exceptional communicator across technical and non-technical audiences.
• Committed to data-driven decision-making and delivery excellence.

Why Join Rite-Hite Digital Solutions?

As a technology leader within a globally trusted industrial brand, you will play a pivotal role in shaping how AI and machine learning are applied safely and effectively in real-world environments. Your work will help customers improve safety, productivity, and uptime through intelligent, edge-driven solutions that deliver measurable operational impact.

What We Offer

At Rite-Hite, we take care of our people - because when you're supported, you can do your best work. Our benefits are designed to support your health, your future and your life outside of work:

• Health & Well-being: Comprehensive medical, dental, and vision coverage, plus life and disability insurance. A robust well-being program with an opportunity to receive an extra day off and more.

• Financial Security: A strong retirement savings program with 401(k), company match, and profit sharing.

• Time for You: Paid holidays, vacation time, and personal/sick days each year.

Join us and build a career where you're supported - at work and beyond.

Rite-Hite is proud to be an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under federal, state, or local law.In accordance with VEVRAA, we are committed to providing equal employment opportunities for protected veterans.We are also committed to maintaining a drug-free workplace for the safety of our employees and customers.

Excelligence Learning Corporation is a privately held educationservices company founded in 1985 and headquartered in Monterey, California. As a global leader in early childhood and elementary education, it develops, manufactures, and distributes over 20,000 educational products and instructional solutions-ranging from classroom supplies and furnishings to proprietary curricula and digital learning tools-under awardwinning brands such as Discount School Supply, Really Good Stuff, Frog Street, Children's Factory, Steve Spangler Science, and others Glassdoor+3Great Place To Work+3Glassdoor+3. Driven by the mission "Empowering The Education Experience," Excelligence leverages cuttingedge technologies, earlybrain science, and robust fulfillment systems to support more than 33 million young learners and the educators who serve them Great Place To Work. With multiple locations across the U.S., including a major manufacturing and distribution center near Kansas City in Gardner, Kansas, the organization blends national scale with local impact-recognized for both community environmental stewardship and as a Great Place to Work

Overview

Excelligence Learning Corporation is seeking a detail-oriented, data-driven Business Systems Analyst to support Discount School Supply's inventory planning and purchasing operations with a strong focus on systems, analytics, and business intelligence tools. This role is critical in enhancing operational decision-making by leveraging BI platforms, structured datasets, and advanced reporting to deliver insights that directly impact forecasting accuracy, inventory performance, and supplier compliance.

You will work cross-functionally with Purchasing Managers, IT, Kitting, and Operations to ensure end-to-end visibility of inventory health while building tools, dashboards, and models that streamline workflows and deliver business-critical intelligence.

Core Responsibilities

Business Intelligence & Systems Development

• 
  
• Build and maintain dashboards and reporting tools in BI platforms such as Tableau or Power BI to monitor KPIs like service levels, inventory turns, forecast accuracy, and supplier performance.
  
• Utilize SQL and data warehouse environments to extract, transform, and analyze large data sets.
  
• Translate business questions into data requirements and drive data quality and visibility across purchasing, merchandising, and fulfillment functions.
  
• Partner with IT and Operations teams to improve systems integration, data flow, and automation of recurring reports.
  
• Regularly publish proposed supply plans by synthesizing inputs from demand forecasts, current inventory levels, safety stock thresholds, and lead times.
  
• Lead small-scale BI and system enhancement projects that improve inventory insights and forecasting agility.
  

Inventory Analysis & Demand Planning

• 
  
• Deliver weekly performance scorecards and KPI dashboards to support Purchasing Managers and guide decision-making.
  
• Develop forward-looking inventory glidepaths and simulate future stock scenarios to proactively identify service gaps.
  
• Provide detailed inventory analyses to reduce overstock risk, improve working capital efficiency, and ensure alignment with budget goals.
  
• Maintain high item data integrity and ensure inventory availability aligns with merchandising strategy and system readiness.
  
• Ensure sellability of inventory through item status audits and system validations.
  

Required Qualifications

Education

• 
  
• Bachelor's degree in Business Administration, Computer Science, Information Systems, Statistics, or a related field.
  

Experience

• 
  
• 3+ years of experience in business intelligence, data analysis, inventory analytics, or a related field.
  
• Demonstrated experience leading BI or reporting projects and delivering data-driven recommendations to senior leadership.
  
• Experience working with large datasets and applying data modeling principles.
  

Technical Skills

• 
  
• Proficiency in BI tools such as Tableau, Power BI, or equivalent platforms.
  
• Strong knowledge of SQL and data warehousing concepts/tools.
  
• High proficiency in Microsoft Excel for modeling, analysis, and reporting.
  
• Experience with ERP systems and item/inventory master data management preferred.
  

Analytical and Communication Skills

• 
  
• Ability to interpret complex data and convert it into actionable business insights.
  
• Proven problem-solving abilities, particularly in system and data integration scenarios.
  
• Excellent organizational, communication, and documentation skills.
  
• Strong attention to detail and comfort with both independent and cross-functional work in a fast-paced environment.
  

Equal Opportunity Statement

Excelligence is an Equal Employment Opportunity (EEO) Employer. We are committed to providing equal employment opportunities to all employees, applicants, and other covered individuals without regard to race, color, religion or creed, sex, gender identity, pregnancy, sexual orientation, marital status, national origin, age, disability, military or veteran status, or any other protected classification under local, state, or federal law.

Senior Platform Architect

Reports To: Director of Engineering

Department: Engineering

Location: Hybrid - Atlanta, GA

What makes MTech different:

Purpose-Driven Work – Build technology that solves real problems for the world

Casual & Collaborative – No corporate bureaucracy, direct access to senior leadership

Innovation-Focused – Healthy innovation pipeline expanding into new segments and technologies

Transparent & Data-Driven – Clear metrics, objectives, and visibility into company performance

Modern Development – Robust development tools, training programs, and technical excellence

Flexibility & Balance – Flexible work environment that values results over presenteeism

Job Summary

The Senior Platform Architect will lead the technical architecture, design, and modernization of large-scale, multi-tenant enterprise SaaS platforms built on Azure and the .NET stack. This role requires mastery of distributed systems, cloud-native design, and advanced engineering practices to deliver highly available, performant, and secure solutions for global consumer-facing SaaS and Agentic AI products.

Responsibilities and Duties

Architectural Design & Transformation

• Lead migration from monolithic systems to modular monolith and microservices architectures using domain-driven design, bounded contexts, and decomposition strategies.
• Design multi-tenant SaaS platforms with advanced tenant isolation, resource partitioning, and elastic scaling using Azure services.
• Define and enforce architectural standards for .NET (C#), TypeScript, Angular, SQL Server, and Azure, including dependency injection, SOLID principles, asynchronous programming, and reactive patterns.
• Design and implement distributed systems: service orchestration, API gateway management, IoT, edge computing, distributed transactions, eventual consistency, CQRS, and event sourcing.
• Architect for cloud-native resiliency: circuit breakers, bulkheads, retries, failover, geo-redundancy, and disaster recovery using Azure App Services, Azure Functions, Service Bus, Cosmos DB, and Azure SQL.
• Develop and maintain architecture documentation, reference models, and decision records using industry frameworks (TOGAF, Zachman, C4 Model).

Performance Engineering & Observability

• Establish and monitor platform SLOs (latency, throughput, error rates, availability) mapped to customer SLAs.
• Architect and implement advanced caching strategies, indexing, and query optimization for SQL Server and NoSQL stores in coordination with Senior Data Architect, Data Engineers, and Database Admins.
• Design and implement telemetry pipelines: distributed tracing (OpenTelemetry), structured logging, metrics collection, and real-time dashboards for system health and diagnostics.
• Conduct performance profiling, load testing, and capacity planning for backend services and frontend applications.

Automation, Quality, and DevOps

• Architect and implement CI/CD pipelines with automated build, test, security scanning, and deployment workflows.
• Integrate static code analysis, code coverage, and quality gates into the development lifecycle.
• Design and enforce automated testing strategies: unit, integration, contract, and end-to-end tests for backend and frontend components.
• Develop infrastructure as code (IaC) solutions for repeatable, scalable cloud provisioning.
• Create incident response playbooks for rollback, failover, and recovery, drive down MTTR and automate remediation where possible.

Security, Compliance, and Governance

• Architect for multi-tenant security: authentication/authorization (OAuth2, OpenID Connect), encryption at rest and in transit, secrets management, and compliance with SOC 1, SOC 2, GDPR, and other regulatory standards.
• Implement secure software development lifecycle (SSDLC) practices, threat modeling, and vulnerability management, including ZDR, DLP, No Model Training policies with AI Models.
• Ensure architectural governance and alignment with enterprise frameworks (TOGAF, Zachman), maintain architecture decision records, and participate in architecture review boards.

Technical Leadership & Collaboration

• Mentor engineering teams in advanced architectural concepts, distributed systems, cloud-native development, and best practices.
• Collaborate with Data Architect, DevOps, IT Services, Engineering and Product Management teams to ensure platform extensibility, integration, and support for complex business requirements.
• Evaluate and integrate AI/ML services, advanced analytics, and developer productivity tools to enhance platform capabilities.
• Champion a culture of technical excellence, continuous improvement, and innovation.

Required Experience & Skills

• Minimum 10+ years in software/platform engineering, with at least 8 years in platform architecture for enterprise SaaS on Azure and .NET tech stack.
• Proven experience architecting and delivering large-scale, multi-tenant SaaS platforms for global consumer-facing products.
• Deep expertise in .NET (C#), Azure cloud services (App Services, Functions, Service Bus, Cosmos DB, SQL Server), Azure Open AI, Microsoft Agent Framework, TypeScript, Angular, CI/CD, automated testing, and observability.
• Mastery of distributed systems, cloud-native patterns, event-driven architectures, and microservices.
• Demonstrated success in technical debt reduction, performance engineering, and architectural modernization.
• Experience with architectural frameworks (TOGAF, Zachman, C4 Model), architectural governance, and compliance.
• Strong understanding of platform security, regulatory compliance, and multi-tenant SaaS challenges.

Success Metrics (First 12 Months)

• Reduction in platform-related incidents/support tickets.
• Improvement in deployment speed and release velocity.
• Reduction in MTTR for platform incidents.
• Achievement of modularization milestones (monolith decomposition, service rollout, platform observability in production).
• Increase in automated test coverage, code quality, and system performance metrics.

Preferred Skills & Certifications

• TOGAF, Zachman, or similar architecture certification.
• Advanced knowledge of event sourcing, CQRS, service mesh, and cloud-native security.
• Familiarity with semantic technologies, knowledge graphs, and AI/ML integration.
• Hands-on experience with infrastructure as code, automated testing tools, and modern DevOps practices.
• Strong background in platform security, compliance, and multi-tenant SaaS challenges.

EEO Statement

Integrated into our shared values is MTech’s commitment to diversity and equal employment opportunity. All qualified applicants will receive consideration for employment without regard to sex, age, race, color, creed, religion, national origin, disability, sexual orientation, gender identity, veteran status, military service, genetic information, or any other characteristic or conduct protected by law. MTech aims to maintain a global inclusive workplace where every person is regarded fairly, appreciated for their uniqueness, advanced according to their accomplishments, and encouraged to fulfill their highest potential. We