Global It Database Engineer – Expert Senior Manager

BCG BCG · Consulting · Boston, MA +1 · Technology and Engineering

The role is for a Global IT Database Engineer – Expert Senior Manager at BCG, focused on designing and evolving cloud-native database platforms and services, primarily on AWS. The individual will build scalable, secure, and automated data services, standardize platforms, improve reliability, and enable self-service for application and data teams. Responsibilities include platform engineering, automation using IaC and CI/CD, defining architecture and standards, ensuring reliability, security, and cost optimization, stakeholder enablement, and supporting emerging use cases like AI/ML and GenAI.

What you'd actually do

  1. Design and deliver cloud-native database platforms with a focus on scalability, resilience, and cost efficiency
  2. Build automated, self-service capabilities using Infrastructure as Code (e.g. Terraform), CI/CD, and Git-based workflows
  3. Define and implement reusable platform patterns, standards, and guardrails
  4. Embed SRE principles including observability, performance, and incident response
  5. Support emerging use cases (e.g. analytics, AI/ML, GenAI) where relevant

Skills

Required

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
  • 10+ years’ experience in database, platform, or infrastructure engineering
  • Strong experience designing and operating cloud-native platforms (AWS preferred)
  • Hands-on expertise with modern database technologies, including document, search, or graph platforms (e.g. OpenSearch, Neptune, or similar); experience with NoSQL or distributed systems is also valuable
  • Strong hands-on experience with Infrastructure as Code (e.g. Terraform) and CI/CD pipelines
  • Strong understanding of distributed systems, scalability, and performance optimization
  • Experience designing for reliability, observability, and operational excellence (SRE mindset)
  • Solid understanding of cloud security and data protection best practices
  • Strong communication skills, able to translate technical concepts into business outcomes
  • Proven ability to work across global, cross-functional teams
  • Strong problem-solving and analytical mindset
  • Ability to prioritize and deliver in a fast-paced environment

Nice to have

  • Experience across multiple cloud providers (Azure, GCP)
  • Exposure to analytics and data platforms (e.g. Databricks, BigQuery)
  • Familiarity with relational databases (e.g. MSSQL, Oracle)
  • Experience with enterprise architecture frameworks (e.g. TOGAF)
  • Exposure to modern data architectures supporting AI/ML or GenAI use cases (e.g. vector-based retrieval) is a strong plus

What the JD emphasized

  • AWS preferred
  • AI/ML
  • GenAI