Global IT Solution Architect Expert Senior Manager

Boston Consulting Group • Atlanta, GA

3d • $144,000 - $176,000

About The Position

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 Systems
Architect 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 Engineering
Turn 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 Management
Design 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 Leadership
Communicate 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.

Requirements

• 10+ 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 solving
• Ability 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, HITL
• Experience 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 use
• Experience 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.

Nice To Haves

• Translating 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.
• Backend 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).
• Explaining 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.
• Operating 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.

Responsibilities

• Architect 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.
• Turn 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.
• Design 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.
• Communicate 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.

Benefits

• Base salary, annual discretionary performance bonus, retirement contribution, and a market leading benefits package
• Zero dollar ($0) health insurance premiums for BCG employees, spouses, and children
• Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs
• Dental coverage, including up to $5,000 in orthodontia benefits
• Vision insurance with coverage for both glasses and contact lenses annually
• Reimbursement for gym memberships and other fitness activities
• Fully vested Profit Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan
• Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement
• Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month)
• Paid sick time on an as needed basis

What This Job Offers

• Job Type: Full-time
• Career Level: Senior