Principal Database Platform Engineer

Locations:
Boston | Atlanta

Who We Are

Boston 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.

What You'll Do

Join our Data Platform Engineering portfolio, a global team building and operating the database infrastructure that powers BCG's data products, analytics, and AI capabilities across Case Teams, Practice Areas, and Business Systems.

As a Principal Database Platform Engineer, you will take end-to-end ownership of cloud-native database platforms, with a primary focus on AWS. This is a hands-on senior individual contributor role focused on designing for scale and reliability, driving automation, and setting the platform standards that engineering teams across the firm depend on.

This role suits an engineer who has operated at a senior level before - someone who identifies what needs to be built, makes sound technical decisions, and delivers without requiring step-by-step direction. We are looking for a strong cloud database engineer with the curiosity and drive to grow into AI-enabling database infrastructure as BCG's needs evolve.

Platform Engineering & Automation

• Design and operate cloud-native database platforms on AWS, with a focus on scalability, resilience, and cost efficiency
• Build automated, self-service capabilities using Infrastructure as Code (Terraform), CI/CD, and Git-based workflows

Architecture & Standards

• Define and implement reusable platform patterns, standards, and guardrails across a multi-cloud environment
• Act as a technical leader where required, translating business and engineering needs into scalable database platform designs

Reliability, Security & Cost Optimization

• Embed SRE principles including observability, performance tuning, and incident response into day-to-day operations
• Ensure secure-by-design practices across identity, access management, and data protection
• Drive cloud cost transparency and optimization through Fin Ops disciplines, including tagging, attribution, and rightsizing

Stakeholder Enablement & Collaboration

• Partner with architecture, application, and data teams to translate needs into practical platform solutions
• Provide technical guidance and mentorship to engineers
• Lead design and architecture reviews aligned to enterprise standards

Innovation & Continuous Improvement

• Evaluate emerging database technologies and lead proofs of concept as BCG's AI and data needs evolve
• Support and enable AI and analytics use cases through modern database platform capabilities

You're Good At

• Communicating clearly - able to translate technical decisions and trade-offs into terms that resonate with non-technical stakeholders
• Working across global, cross-functional teams and building effective partnerships across disciplines
• Approaching problems with analytical rigor and a practical engineering mindset
• Prioritizing and delivering in a fast-moving environment without losing sight of quality or standards

What You'll Bring

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 8 to 10 years of experience in database, platform, or infrastructure engineering
• Hands-on experience with PostgreSQL and AWS-managed database services - DynamoDB, Open Search, or similar - in production environments
• Experience with Terraform and CI/CD pipelines for infrastructure automation
• Solid understanding of how databases perform at scale - query performance, indexing, and data distribution
• Self-directed and hands-on - you own the problem end to end, from design through to delivery
• Genuine interest in how database platforms are evolving, particularly in the context of AI and analytics

Preferred Qualifications

• Experience across more than one cloud provider
  - Azure or Google Cloud Platform alongside AWS
• Familiarity with graph, document, or No
  
  SQL databases
  - Neptune, Document DB, MongoDB, or equivalent
• Exposure to vector search or pgvector for AI and GenAI workloads
• Experience with analytics platforms such as Databricks or Big Query
• Familiarity with RAG pipelines, embedding stores, or modern AI data architectures
• Working knowledge of cloud security practices - IAM, least-privilege, data protection
• Exposure to Fin Ops, SRE, or enterprise architecture frameworks such as TOGAF
• Experience mentoring…