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Boston Consulting Group

Global strategy and transformation consulting firm

IT Enterprise Architect Senior Manager - Data

IT OperationsConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 12 years of architecture or engineering experience, ideally combining engineering and solution architecture experience, including multiple years developing and operating highly performant data solutions.
  • Deep knowledge of working with structured and unstructured data.
  • Ability to translate complex business problems into pragmatic, outcome-driven solution architectures with documented trade-offs.
  • Ability to apply systems thinking across multiple platforms and domains and resolve integration challenges.
  • Experience in data engineering; Python is preferred.
  • Experience in API and microservice design, including REST and GraphQL.
  • Experience with event-driven architecture, event buses, and event orchestration, such as AWS EventBridge or Kafka.
  • Experience with solution engineering across cloud platforms, including AWS, Azure, or GCP, and with cloud services, networking, and security.
  • Experience designing and building scalable ingestion pipelines using tools such as Fivetran, AWS Glue, Airbyte, dbt, or Airflow.
  • Experience conducting proofs of concept, evaluating and scoring vendor tools, comparing build-versus-buy options, and recommending technology for adoption.
  • Experience evaluating generative AI and agentic solutions, building MCP servers, and using agent skills, tools, and orchestration frameworks.
  • Expertise in agent patterns and large language models, retrieval-augmented generation, vector and graph databases, memory, security guardrails, and human-in-the-loop workflows.
  • Ability to work autonomously and influence effectively in a highly matrixed organization.

Responsibilities

  • Collaborate with project teams to deliver results while adhering to standards and best practices.
  • Coordinate and provide oversight to domain architects and engineering leads across portfolios and workstreams.
  • Facilitate cross-enterprise coordination, accommodate enterprise requirements, and address data architecture and integration needs.
  • Collaborate with multidisciplinary architects and engineers across business and technology teams to advance technology strategy, develop roadmaps, and establish technical standards.
  • Serve as an interface with technical partners, assessing value and facilitating coordination on joint initiatives.
  • Collaborate with enterprise architects, solution architects, and data engineers to design technical solutions aligned with enterprise standards and architecture patterns, and help develop those standards and practices.
  • Work across systems and solutions to ensure consistency and alignment and enable solutions to work together across lines of business.
  • Deliver technical solutions hands-on from prototype to production, including evaluating the viability and security of emerging generative AI and agent technologies.
  • Build data capabilities and prototypes to accelerate time to market, align with enterprise standards, and contribute to evolving standards.
  • Design and scale data systems; define standards for agentic development, orchestration, deployment, and monitoring; and build and evolve MCP services for data engineering, lifecycle management, and governance.
  • Define and apply patterns for access controls, guardrails, observability, performance, and reliability; use AI-assisted engineering tools such as Claude Code or Cursor to accelerate delivery with quality and security controls.
  • Apply expertise across infrastructure, data management, systems integration, and application development, including cloud infrastructure, event-based exchange, APIs, large language models, and vector and graph databases.
  • Create artifact templates and technical documentation, enforce architecture governance and compliance policies, and collaborate across teams to resolve complex solution challenges.
  • Provide technical oversight to multiple project teams and ensure their solutions support business outcomes and align with enterprise architecture standards and roadmaps.
  • Organize architecture technical reviews, obtain peer input, participate in technical design authority reviews, and drive alignment through influence and negotiation.
  • Apply well-architected frameworks and standards to achieve performance, scalability, and reliability; create architecture decision records communicating design options and decisions to stakeholders.
  • Review proposed changes from process owners, data owners, product owners, and technical teams for architectural impact.
  • Discuss emerging technologies with vendors to assess options and propose solutions.
  • Evaluate solution options against functional and nonfunctional requirements, improve functionality, and achieve cost optimization and platform efficiencies through automation.

Desired Qualifications

  • Python for data engineering.

About the Company

Boston Consulting Group

Global strategy and transformation consulting firm

BCG provides global management consulting, advising leaders in strategy and transformation across industries, with expertise in M&A, operations, pricing, sustainability, and AI. BCG X builds AI solutions, digital products, and new ventures by combining engineers, data scientists, designers, and venture builders for clients. Specialist units Inverto, Platinion, and Quantis support procurement, IT architecture, and sustainability, while the BCG Henderson Institute supplies research. The goal is to help clients achieve lasting performance improvements and durable value through strategic advisory plus hands-on technology execution.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1963

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