Solutions Architect

Solution Architect Senior ManagerBoston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.Join the CT Data Layer Team, a global initiative transforming our organization into a data-driven enterprise! The Data Layer Team builds the data platforms, pipelines, and GenAI capabilities that power BCG's consulting teams and practice areas including the new wave of agentic business capabilities. Our focus is on creating scalable data solutions and advancing our infrastructure to drive informed decision-making, accelerate value creation, and enable secure, enterprise-grade use of GenAI across the company.As a hands-on Solution Architect Senior Manager you will be responsible for the architecture, design, and engineering enablement of our Data Layer infrastructure and automation, cloud platforms, and modular software solutions. This role provides the opportunity to innovate, collaborate, and influence data platform and software engineering practices across BCG, while providing leadership and collaboration to a high performing team tasked with high-visibility enterprise initiatives. You will work across product owners, stakeholders, other architects, vendors and technical teams to define backend system requirements and deliver scalable, secure, and reliable services.The successful candidate will be a highly motivated strategic thinker, engaging collaborator, and effective influencer. They will coordinate and provide oversight to the solution/technical leads of multiple development squads, balancing delivery and progress with adherence to standards and processes. Your activities will include:GenAI & Agentic SystemsArchitect and deliver technical solutions from prototype to production, including evaluating the viability and security of emerging GenAI/agent technologies.Design and scale data systems; define standards for agentic development, orchestration, deployment, and monitoring.Evolve reusable MCP patterns and services for consistent tool integration, governance, and lifecycle management.Define and apply scaling patterns covering access control, guardrails, evaluation, observability, cost/latency, and reliability.Use AI-assisted engineering tools (Claude Code, Cursor, equivalents) to accelerate delivery with strong quality and security controls.Architecture & Platform EngineeringTurn business requirements into scalable, secure designs with a focus on reusable backend services and data platform solutions. Contribute to AWS and Azure self-service capabilities, enabling rapid prototyping and time-to-market for structured and unstructured data classification and GenAI pipelines.Provide technical oversight to multiple squads; collaborate with other Architects to align with enterprise standards and DevSecOps practices; contribute to roadmaps and evolve standards.Ensure cross-system consistency; resolve cross-squad architectural dependencies and misalignments.Lead Architecture and Design Reviews; facilitate structured decision-making and document decisions through ADRs and RAID logs. Experience working in Jira/Confluence or similar and actively contributing to an architecture knowledge base.Conduct PoCs and scope effective MVPs to phase complex delivery, evaluate emerging cloud-native and AI technologies, and validate enhancements to the platform.Data Integration & Pipeline ManagementDesign the onboarding and integration of public, proprietary and third-party datasets into our cloud data platforms. Ensure that data pipelines (Airflow DAGs, AWS Glue) have correctness, completeness, and data integrity.Develop and manage automated solutions including K8s-deployed MCP endpoints, incorporating schema evolution and choosing appropriate cloud storage and compute (S3/Tables, Athena etc).Maintain metadata logs, asset templates, technical documentation, and enforce data governance, access controls, and compliance policies.Stakeholder & Cross-Team LeadershipCommunicate complex architectural concepts clearly to both technical and non-technical audiences; drive alignment through influence.Act as technical liaison between internal stakeholders and external data vendors; manage integration projects end-to-end.Interface with strategic partners to identify value opportunities and coordinate joint initiatives.Support product squads translating and prioritizing business problems while contributing to the architectural runway.You're Good AtArchitecture & Problem SolvingTranslating complex business problems into clear, pragmatic, outcome-driven solution architectures with well-documented trade-offs.Applying systems thinking across multiple platforms and domains; identifying and resolving integration challenges before they become blockers.Building and evaluating GenAI and agentic solutions using MCP servers, Skills, and agent orchestration frameworks.EngineeringBackend programming (Python preferred) and modern API/microservice design — REST, GraphQL, event-driven architectures.Cloud platforms (AWS preferred, Azure a plus): compute, networking, IAM, storage, and managed services.CI/CD pipelines, GitOps, Docker containerization, and Kubernetes orchestration.Writing clean, well-documented, version-controlled code; designing and building scalable ETL/ELT pipelines (dbt, Airflow, Snowflake, or similar).Communication & LeadershipExplaining architecture decisions and technical concepts compellingly to diverse audiences — from engineers to senior leadership.Facilitating alignment across product, engineering, and business stakeholders utilizing influence.Leading with clarity and confidence in fast-moving, distributed environments; mentoring and unblocking teams.Execution & Continuous LearningOperating effectively in Agile (Scrum/Kanban) environments; balancing speed and quality in architectural decisions.Proactively exploring and applying emerging technologies — AI, cloud-native, SaaS integrations — with a strong ownership mindset.What You'll Bring10+ years in Software or Platform Engineering, including Data and AI-focused roles; 10+ years designing business-critical applications in multi-region or regulated environments.7+ years as a hands-on developer (multitenant/SaaS preferred); demonstrated Solution Architect experience, including building reference implementations. 1+ year of exposure to LLM-based business applications and/or agentic SDLCs.Excellent stakeholder management, communication, and the ability to influence at senior levels.Strong analytical and critical thinking, structured problem solvingAbility to manage multiple initiatives with competing priorities while delivering on commitments and estimates.Expertise in agent patterns and LLM knowledge: RAG, vector/graph DBs, tool use, planning, memory, guardrails, HITLExperience building and managing MCPs (registry, access control, versioning, performance/cost controls).Enterprise platform management including CI/CD, runtime monitoring, and incident response.Proficiency in Python and SQL; knowledge of containerization (Docker, K8s), serverless, and distributed systems.Strong experience with AI coding assistants (Claude, Cursor) for safe enterprise useExperience with relational and NoSQL databases; understanding of data modeling and integration patterns.Understanding of data strategy, governance, data catalog, lineage, and data quality concepts.Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related discipline.Who You'll Work WithBCG Global Consulting Teams: Functional & Industry practice areas, Data Product Portfolio, Portal/ BCG Marketplace, Master Data Management, and Data Governance teamsBCG IT and Knowledge Teams: Business intelligence, analytics, operational, and technical specialists.Cross-Functional Teams: Data Protection office, Data Governance, Data Engineers, Knowledge Function, Enterprise Services, Data Owners, Stewards, IT, Data Ops/ Warehouse and Infrastructure.CT Data Layer Team: Data engineers, Software and Infra engineers, enterprise architects, product analysts