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Boston Consulting Group

Global strategy and transformation consulting firm

Global IT Data Architect Senior Manager

Data ManagementConfirmed live in the last 24 hours
Full-timeGurugram, Haryana, IndiaNo salary listed

About the Job

Requirements

  • A bachelor's degree or equivalent combination of education and experience is required.
  • A bachelor's degree in information science, data management, computer science, or a related field is preferred.
  • At least 12 years of IT experience, with a major focus on data warehouse or database-related projects, is required.
  • Expertise in cloud data platforms and databases such as Snowflake, Redshift, BigQuery, Databricks, data catalogs, and master data management is required.
  • Expertise in writing SQL and database procedures is required.
  • Proficiency in designing solution architecture that accounts for integration points, data flows, security, and vulnerabilities is required.
  • Proficiency in conceptual, logical, and physical data modeling is required.
  • Proficiency in documenting architecture work is required.
  • Hands-on experience with data storage, ETL/ELT, and data analytics tools and technologies such as Talend, dbt, Attunity, GoldenGate, Fivetran, APIs, Tableau, Power BI, and Alteryx is required.
  • Experience in data warehousing design and development, and business intelligence or analytical systems, is required.
  • Experience working on projects using Agile methodologies is required.
  • Strong hands-on experience with data and analytics data architecture, solution design, and engineering is required.
  • Experience with cloud big data technologies such as AWS, Azure, GCP, Snowflake, BigQuery, and Databricks is required.
  • Experience with Agile methodologies, including Scrum and Kanban, and Meta Scrum with cross-functional teams including Product Owners, Scrum Masters, Architects, and data subject matter experts is required.
  • Experience reviewing databases, data architecture, and data models across multiple systems and proposing architecture enhancements for cross-compatibility and target systems is required.
  • The role requires written, oral, and presentation skills to present architecture, features, and solution recommendations.

Responsibilities

  • Define architecture for key domains within the Data Products Portfolio.
  • Evaluate data-related tools and technologies and recommend appropriate implementation patterns and standard methodologies to keep the data ecosystem modern.
  • Collaborate with Enterprise Data Architects to establish and adhere to enterprise standards, and perform proofs of concept to ensure those standards are implemented.
  • Provide technical expertise and mentorship to Data Engineers and Data Analysts in Data and Solution Architecture.
  • Develop and maintain processes, standards, policies, guidelines, and governance to ensure a consistent framework and standards are applied across the company.
  • Create and maintain conceptual, logical, and physical data models to identify key business entities and visualize relationships.
  • Work with business and IT teams to understand data requirements.
  • Maintain a data dictionary containing table and column definitions.
  • Review architecture with technical and business audiences.
  • Partner with Technology, Data Stewards, and product teams in an Agile workstream while meeting program goals and deadlines.
  • Champion architecture throughout the project lifecycle, working with Product Owners, Business, and BI&A teams to shape and steer key decisions.
  • Develop well-researched design approaches with clear pros and cons, evaluate and test new platform capabilities, and establish modern architectural ways of working across the team.
  • Develop and present well-structured proposals and architectural recommendations to build stakeholder confidence and drive adoption of scalable solutions.
  • Lead the design and build of new models to deliver candidate and recruitment results to senior management.
  • Design and document data-product architecture processes and process flows, and train the team on them.
  • Resolve technical challenges in critical situations requiring immediate resolution.
  • Develop relationships with external stakeholders to maintain awareness of data and security issues and trends.
  • Review work from other technology team members and provide feedback to support their growth.
  • Implement data architecture and data security policies aligned with governance objectives and regulatory requirements.

Desired Qualifications

  • Experience with Python is preferred.
  • Hands-on experience designing, evaluating, or supporting GenAI or large language model solutions, including proofs of concept and production-oriented architecture patterns.
  • Understanding of agentic AI concepts, multi-step orchestration, tool-using AI agents, and human-in-the-loop design considerations.
  • Experience with retrieval architectures such as retrieval-augmented generation, GraphRAG, hybrid search, semantic search, and context-grounding approaches for enterprise use cases.
  • Familiarity with vector databases, knowledge graphs, metadata-rich knowledge stores, and enterprise knowledge base design for AI applications.
  • Exposure to AI application frameworks and orchestration tools such as LangChain and LangGraph.
  • Awareness of agent-to-agent interaction patterns, A2A concepts, model context management (MCP), and emerging interoperability standards such as MCP.
  • Experience evaluating data readiness for GenAI use cases, including chunking strategy, retrieval quality, data lineage, access controls, and content governance.
  • Understanding of prompt design, evaluation approaches, observability, guardrails, safety, and responsible AI controls in enterprise environments.
  • Ability to partner with product, engineering, architecture, and governance teams to shape scalable GenAI-enabled data products and platforms.

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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