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What You'll Do
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 ensure our Data ecosystem is always modern.
- Collaborate with Enterprise Data Architects in establishing and adhering to enterprise standards while also performing PoCs to ensure those standards are implemented.
- Provide technical expertise and mentorship to Data Engineers and Data Analysts in the Data &
Solution Architecture.
- Develop and maintain processes, standards, policies, guidelines, and governance to ensure that a consistent framework and set of standards is applied across the company.
- Create and maintain conceptual / logical and Physica; data models to identify key business entities and visual relationships.
- Work with business and IT teams to understand data requirements.
- Maintain a data dictionary consisting of table and column definitions.
- Review Architecture with both technical and business audiences.
- Partner with Technology, Data Stewards and various Products teams in an Agile work stream while meeting program goals and deadlines.
- Champion architecture across the project lifecycle — working closely with Product Owners, Business, and BI&A teams as a trusted technical partner to shape and steer key decisions.
- ability to put forward 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.
- Ability to craft & influcence well-structured proposals and present architectural recommendations persuasively, building stakeholder confidence and driving adoption of scalable, future-ready solutions.
- Lead to design / build new models to efficiently deliver the candidate and recuitment results to senior management.
What You'll Bring
Essential Education
- Bachelor's degree or equivalent combination of education and experience.
- Bachelor's degree in information science, data management, computer science or related field
preferred.
Essential Experience & Job Requirements
- 12+ years of IT experience with major focus on data warehouse / database related projects.
- Expertise in cloud data platforms and databases like Snowflake, Redshift, BigQuery, Databricks, data catalog, MDM etc.
- Expertise in writing SQL and database procedures.
- Proficient in designing solution architecture factoring in all integration points, data flows and
security/vulnerabilities.
- Proficient in Data Modelling - conceptual, logical, and physical modelling.
- Proficient in documenting all the architecture related work performed.
- Hands on experience in data storage, ETL / ELT and data analytics tools and technologies e.g.,
Talend, dbt, Attunity, Golden Gate, Fivetran, APIs, Tableau, Power BI, Alteryx etc.
- Experienced in Data Warehousing design / development and BI / Analytical systems.
- Experience working projects using Agile methodologies.
- Strong hands-on experience with data and analytics data architecture, solution design, and
engineering experience.
- Experience with Cloud Big Data technologies such as AWS, Azure, GCP, Snowflake, BigQuery, and Databricks.
- Experience with Python would be preferable.
- Experience working with agile methodologies (Scrum, Kanban) and Meta Scrum with cross-functional teams (Product Owners, Scrum Master, Architects, and data SMEs).
- Review existing databases, data architecture, data models across multiple systems and propose
architecture enhancements for cross compatibility and target systems.
- Excellent written, oral communication and presentation skills to present architecture, features, and solution recommendations.
GOOD TO HAVE: GENAI, AGENTIC AI & EMERGING ARCHITECTURE
CAPABILITIES
These GenAI capabilities are optional / preferred and are captured separately from the core Data Architect requirements above.
- Hands-on experience designing, evaluating, or supporting GenAI / LLM-enabled 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 RAG, 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.
Who You'll Work With
Global functional portfolio technical leaders (Finance, HR, Marketing, Legal, Risk, IT), product
owners, functional area teams across levels.
- Global Data portfolio Management & teams (Enterprise Data Model, Data Catalog, Master Data
Management).
- Consulting and internal Data Tribe teams across BCG.
Additional info
YOU'RE GOOD AT
- Design, document & train the team on the overall processes and process flows for the data products’ architecture.
- Resolve technical challenges in critical situations that require immediate resolution.
- Develop relationships with external stakeholders to maintain awareness of data and security issues and trends.
- Review work from other tech team members and provide feedback for growth.
- Implement Data Architecture and Data security policies that align with governance objectives and regulatory requirements.
Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
