Principal Enterprise Architect, Adtech

Comcast Comcast · Media · Reston, VA · Remote

Principal Enterprise Architect role focused on AdTech platforms, translating business needs into scalable product designs and technical solutions. Responsibilities include creating solution blueprints, roadmaps, and providing design leadership for cloud-native systems, with an emphasis on reliability, security, and cost efficiency. Requires experience in ad serving, programmatic demand, identity, measurement, and cloud technologies.

What you'd actually do

  1. Serve as the architecture interface between Product and Engineering, converting market and client needs into pragmatic, end-to-end solution designs for Streaming Hub (SSP/ad server), Programmatic Demand (DSP), Audience/Identity, Measurement, and Revenue Science platforms.
  2. Produce Solution Blueprints, Reference Architectures, and Architecture Decision Records (ADRs) that balance speed with long-term maintainability, platform consistency, and extensibility.
  3. Guide Product-aligned Architecture Roadmaps, sequencing capabilities to deliver measurable business value while reducing technical debt.
  4. Provide hands-on design leadership for cloud-native (Kubernetes, microservices, data plane/control plane) systems including reliability (SLOs/SLA), observability, security, privacy, and cost controls.
  5. Shape standards for data contracts, identity, consent, measurement, and programmatic interoperability across buy- and sell-side workflows.

Skills

Required

  • 10+ years in software architecture/engineering
  • 5+ years leading distributed, high-scale, low-latency systems (Go/Java/Scala, gRPC/REST, Kafka/Pub-Sub, columnar/NoSQL stores)
  • Designed or led architectures for ad serving and SSP platforms (preferably premium video/CTV), including unified decisioning (direct + programmatic), mediation, forecasting, and yield protections.
  • Working knowledge of header bidding, deal types (OpenRTB, PMP, curated deals), supply-path optimization (SPO), and auction transparency.
  • Built or integrated with DSP workflows (planning, activation, bidding, pacing/optimization, frequency management, brand safety, measurement).
  • Practical grasp of identity & addressability (e.g., first-party graphs, UID2/PPID concepts, clean rooms), and how buyers/sellers align IDs for targeting and measurement (preferably in CTV).
  • Architected privacy-centric audience and measurement capabilities—data onboarding, audience building/forecasting, reach/frequency, outcomes—using standardized signals and ID interoperability.
  • Kubernetes (multi-cluster, multi-region), service mesh, autoscaling, observability (OpenTelemetry), and resilience engineering; hands-on with at least one major cloud. Experience with multi-cloud architecture a plus.
  • Strong security and privacy patterns (OAuth/OIDC, tokenization, encryption, secrets, least-privilege, auditability) and FinOps sensibilities. Hands-on experience with API management and API security standards.
  • Proven track record turning ambiguous business needs into r

Nice to have

  • multi-cloud architecture

What the JD emphasized

  • high-scale
  • low-latency
  • ad serving
  • SSP platforms
  • premium video/CTV
  • unified decisioning
  • OpenRTB
  • PMP
  • curated deals
  • supply-path optimization (SPO)
  • auction transparency
  • DSP workflows
  • identity & addressability
  • first-party graphs
  • UID2/PPID concepts
  • clean rooms
  • privacy-centric audience
  • measurement capabilities
  • data onboarding
  • audience building/forecasting
  • reach/frequency
  • outcomes
  • standardized signals
  • ID interoperability
  • Kubernetes
  • service mesh
  • autoscaling
  • observability
  • resilience engineering
  • multi-cloud architecture
  • security and privacy patterns
  • OAuth/OIDC
  • tokenization
  • encryption
  • secrets
  • least-privilege
  • auditability
  • API management
  • API security standards
  • ambiguous business needs