• Conduct in-depth analyses of organizational climate and culture using quantitative methods to identify the primary drivers and barriers to performance. • Develop and manage performance appraisal cycles, ensuring individual and team goals are rigorously aligned with the company’s strategic and financial objectives. • Define, monitor, and analyze a robust set of HR KPIs (e.g., productivity per employee, goal completion rate, eNPS, high-performer turnover), translating data into actionable insights for leadership. • Act as an internal consultant to business leaders, using data to inform decisions on organizational structure, succession planning, and development of critical business capabilities. • Map and redesign people management processes, applying efficiency principles (such as Lean or Six Sigma) to increase productivity and scalability of operations. • Build trusted relationships with business leaders, challenging the status quo and influencing strategic talent decisions that directly impact the organization’s P&L.

Role Description We are looking for a Senior System Architect with deep expertise in distributed systems, large‑scale data engineering, and advertising technology. You will architect the core data and systems foundation for a hybrid (on‑prem + cloud) ad‑tech platform that supports real‑time decisioning, identity resolution, event processing, and cross‑channel activation. This role requires hands‑on architectural leadership across high‑volume data pipelines, low‑latency services, and privacy‑aware data models. You will define the technical blueprint that enables deterministic and probabilistic identity, campaign orchestration, measurement, and analytics at scale. Responsibilities - Systems Architecture - Design distributed system architectures supporting sub‑100ms decisioning paths, high‑throughput ingestion, and horizontally scalable compute layers. - Architect hybrid environments integrating on‑prem HPC clusters with cloud‑native services (AWS/Azure/GCP). - Define service boundaries, API contracts, and data‑exchange protocols across the ad‑tech stack (e.g., OpenRTB, CAPI‑style event endpoints, identity sync interfaces). - Build fault‑tolerant, autoscaling systems capable of handling billions of daily events. - Data Architecture & Engineering - Design data models for identity graphs, event logs, attribution datasets, and campaign metadata. - Architect multi‑tier storage systems (hot/warm/cold) using object storage, columnar warehouses, and in‑memory caches. - Lead the design of real‑time and batch pipelines using technologies such as Kafka, Kinesis, Flink, Spark, Airflow, or dbt. - Implement schema‑evolution strategies, data‑versioning, and lineage tracking across distributed systems. - Optimize data flows for throughput, latency, and cost across hybrid compute environments. - Ad-Tech Platform Foundations - Architect systems supporting: - Real‑time bidding and auction decisioning - Audience segmentation and lookalike modeling - Deterministic/probabilistic identity resolution - Measurement, attribution, and incrementality workflows - Consent and preference management - Integrate with external ad‑tech systems (DSPs, SSPs, CDPs, clean rooms, identity providers). - Implement privacy‑preserving data‑sharing patterns (hashed identifiers, differential privacy, clean room integrations). - Governance, Security & Compliance - Define data governance frameworks including cataloging, lineage, retention, and access‑control models. - Implement privacy‑by‑design principles aligned with GDPR, CCPA, IAB TCF, and event‑industry compliance requirements. - Architect secure data‑exchange mechanisms using encryption, tokenization, and role‑based access controls. - Technical Leadership - Provide architectural guidance to data engineering, platform engineering, and ML/analytics teams. - Evaluate emerging technologies (PETs, vector databases, streaming engines, identity frameworks) and drive adoption where appropriate. - Produce architecture diagrams, RFCs, and technical specifications for engineering teams. Qualifications - 5+ years in system architecture, distributed systems engineering, or large‑scale data engineering. - Strong expertise in: - Distributed systems design - SQL and NoSQL data modeling - Event‑driven architectures - Cloud platforms (AWS, Azure, or GCP) - Hands‑on experience with: - Data warehouses (Snowflake, Redshift, BigQuery) - Streaming systems (Kafka, Kinesis, Pub/Sub) - Orchestration frameworks (Airflow, Dagster, dbt) - Deep understanding of data governance, security, and compliance frameworks. - Strong ability to translate business requirements into scalable technical architectures. Requirements - Experience building or integrating with DSPs, SSPs, CDPs, DMPs, or identity resolution systems. - Familiarity with OpenRTB, VAST, CAPI‑style event ingestion, and auction mechanics. - Experience with attribution modeling, MMM, MTA, or event‑level measurement systems. - Knowledge of privacy‑enhancing technologies (clean rooms, differential privacy, secure multiparty computation). - Experience with high‑volume log processing (10B+ events/day). Benefits - Competitive compensation and benefits. - Influence over the architectural direction of a next‑generation ad‑tech platform. - Opportunities to work with high‑performance computing, Web 3.0 data systems, and advanced event‑technology infrastructure. - A culture that values technical rigor, ownership, and innovation.

• Own the technical vision, design, project scope and work with project teams to deploy Azure’s solutions. • Serve as the technical leader and cloud subject matter expert, facilitating technical discussions and providing thought and technical design leadership for cloud migration strategies. • Direct, develop and coordinate cloud architecture and implementation across diverse areas including application development, identity and access management, data management, monitoring and alerting. • Evaluate existing environments, research, and make recommendations for future technology decisions, prioritization, technology modernization, assessment of cloud readiness and migration strategy. • Provide best practices for cloud system design, infrastructure integrations, application development practices and production infrastructure patterns to enable a flexible and highly available environment. • Identify risks associated with cloud computing services and a risk mitigation plan for coping with and overcoming such risks. • Keep abreast of emerging cloud technology trends and their impact on cloud solutions. • Act as a change agent for cloud technologies and supporting processes. • Foster an inclusive team environment.

MuleSoft Architect Location: Remote (United States) Summary We are seeking a MuleSoft Architect to lead delivery of rapid, production-first implementations as part of our accelerated service offerings. This role combines solution architecture, integration leadership, and delivery ownership to activate agent-driven use cases leveraging MuleSoft and enterprise data platforms. This individual will act as the project leader, responsible for aligning business outcomes, defining architecture, and ensuring successful delivery of a production-ready use case within an agreed upon timeframe. The ideal candidate has deep experience in API-led connectivity, enterprise integration architecture, and platform design, along with the ability to drive delivery outcomes in a fast-paced, client-facing environment. Responsibilities: Architecture & Solution Leadership - Define end-to-end architecture for agent-enabled workflows, integrating MuleSoft, Application, Data, and AI platforms - Design API-led architectures (System, Process, Experience APIs) aligned to business use cases - Establish patterns for MCP-based API exposure for AI agents - Define patterns for agent-to-agent (A2A) interaction and coordination, enabling agents to collaborate and invoke enterprise capabilities through MuleSoft APIs - Define integration strategy across ERP, SaaS, and legacy systems Project Delivery - Lead execution of a production-first use case, ensuring delivery within defined timeline - Align stakeholders on business outcomes, success criteria, and scope boundaries - Drive architecture, backlog prioritization, and delivery execution - Ensure delivery of: - Production-ready workflows - Real system integrations - Measurable business outcomes Data & AI Integration - Collaborate on establishing data contexts (MDM, governance, contextual data) - Integrate Data, Data Cloud and/or Informatica into solution architecture - Define how AI agents interact with enterprise systems via APIs - Ensure proper use of LLM gateway patterns and token monitoring considerations Delivery Leadership & Governance - Act as primary point of accountability for delivery success (architecture + execution) - Provide lightweight project management oversight (timeline, risks, dependencies) - Lead workshops, demos, and stakeholder alignment sessions - Establish governance, DevOps readiness, and expansion roadmap Client & Partner Engagement - Partner with Salesforce, MuleSoft, and Data Foundation stakeholders - Support pre-sales and solutioning on new opportunities - Translate technical architecture into clear business value narratives Qualifications: - 7+ years of experience in integration architecture and platform design - 3+ years of hands-on experience with MuleSoft Anypoint Platform - Strong understanding of API-led connectivity and microservices architecture - Experience integrating enterprise systems (ERP, CRM, SaaS, legacy) - Strong ownership mindset (end-to-end accountability), with experience leading client-facing delivery engagements - Ability to operate in fast-paced, outcome-driven delivery models, balancing architecture with speed - Outcome-oriented (not feature-oriented) and comfortable with ambiguity and rapid delivery cycles - Strong communication skills with ability to engage both technical and business stakeholders Preferred: - Experience with Salesforce Data Cloud and/or Informatica (MDM, governance) - Exposure to AI/agent architectures, including: - API exposure for AI tools (MCP concepts) - Agent orchestration patterns - Experience with event-driven architecture and real-time integrations - Familiarity with LLM integration patterns and observability (token usage, monitoring) Why Thunder? Because You Deserve More Than Just a Job. - A Culture of Builders – We’re a remote-first, global team of curious, collaborative problem-solvers. You’ll have the opportunity to refine processes, solve challenges, and help shape the future of Salesforce and Amazon consulting. If you’re excited to build, innovate, and grow, you’ll fit right in. - Forge Your Own Path – At Thunder, you’re not just filling a role—you’re shaping it. Whether it’s jumping into presales, refining our methodology, or building something entirely new, the opportunity to innovate is yours to take. Perks In Store for You: - Comprehensive Benefits with Sequoia – Medical, Dental, Vision, and Employer-Paid Life/Disability Insurance to keep you and your loved ones covered. - Ownership & Impact – Stock options in a fast-moving, high-growth company. Every employee plays a part in what we’re building. Come make your mark! - Level Up Your Career – Real opportunities to grow your Salesforce and Amazon expertise through mentorship, certifications, and hands-on experience with cutting-edge technology. - Work from anywhere (well, almost 😉) - Enjoy the freedom of remote work, flexible PTO (with a 2-week minimum!), and generous leave policies - because the best work happens where you’re happiest. - People-First Flexibility – We’re always listening, evolving, and adapting. Your feedback helps shape our policies, ensuring you can thrive - professionally and personally. U.S. citizens and those authorized to work in the US are encouraged to apply.