Summary The purpose of the Senior Solution Architect is to orchestrate complex solution architectures with a broad architectural significance for key outcomes or epics by defining the architectures and designs that deliver our key outcomes aligning with our technology strategy. They play a substantive role in enabling teams to deliver at pace by shaping the solution architecture forward look for a lab or platform, and partner with Product Owners engineering teams and Enterprise architects.

Senior Solutions Architect - Customer Decisioning (PEC Platform)

Location: Hyderabad

15 years of experience

Function: Personalised Experiences Communications (PEC) - Customer Decisioning Lab

Contract type: Permanent / Full-time

Reports to: Head of Engineering, Customer Decisioning Lab

Why this role exists

We re scaling a bank-wide real-time decisioning capability to power next-best experiences across digital, colleague and outbound channels. We re building the decisioning brain that integrates AI and adaptive models, engagement policies and channel orchestration-underpinned by modern data foundations on GCP and event streams (eg, Kafka).

The role in a nutshell

You will be the end-to-end solution authority for decisioning within the PEC Platform: shaping how Decisioning Ecosystem (NBA, engagement/contact policies, arbitration) integrates with our data platform and channels, ensuring designs meet demanding non-functional targets (latency, resilience, cost effectiveness, security and observability), and setting guardrails and patterns that squads and partners can use to deliver at pace-safely and consistently.

What you'll do (key accountabilities)

- Own solution architecture for real-time decisioning Define and evolve E2E designs spanning Decisioning Ecosystem (NBA Designer, arbitration, contact/frequency policies), data access layers, and channel integrations (web/app, colleague, outbound). Ensure loose coupling to support progressive evolution of the stack.

- Integrate decisioning with modern data signals Architect data flows across GCP (eg,



BigQuery, streaming), Kafka/eventing, and digital signal sources (eg, Tealium/Celebrus) to provide sub-second context for decisions and feedback loops for learning.

- Set NFRs SLOs for scale Translate business outcomes into measurable performance targets (eg, p95 latency, availability, change failure rate, cost per decision) and ensure designs, environments and runbooks meet them.

- Establish reusable patterns and guardrails Publish reference architectures, ADRs and integration patterns (APIs, events, identity, consent, measurement) and steward them through Design Authority and platform governance.

- Champion security, privacy compliance Embed threat-modelling, data minimisation, consent and auditability into the designs; ensure explain ability and fairness considerations are factored into decisioning choices and model usage

- Partner across labs vendors Work closely with product engineering squads, data science/ML teams, platform engineering, InfoSec, and delivery partners to land pragmatic solutions and accelerate value.

- Roadmap technical direction Contribute to the PEC architecture roadmap, including where we keep vendor capabilities vs. build in-house over time, ensuring we can iterate safely without vendor lock-in.

What you'll bring (required experience skills)

- Deep architecture experience in real-time decisioning, personalisation or marketing tech at scale in a regulated environment.

- Up-to-date data integration: event-driven architectures (Kafka), streaming batch patterns, API design, identity resolution, experimentation/measurement pipelines.





- Knowledge and experience designing distributed systems (fault-tolerance, scaling/partitioning, consistency models and trade-offs, retries / idempotency / back-pressure) , including high availability and multi-zone/region patterns.

- Knowledge and experience of public cloud providers (GCP/AWS/Azure): core networking/VPC, IAM and security controls, service-to-service connectivity, managed data/streaming services, observability and cost governance/FinOps.

- Cloud engineering foundations: CI/CD, Infrastructure-as-Code, observability, reliability engineering, performance engineering and cost governance.

- Architecture practices: C4 modelling, ADRs, threat modelling, zero-trust/data security by design, and effective governance communication.

Nice to have

- Hands-on Pega CDH expertise (or equivalent RT decisioning platform): NBA strategy/arbitration, engagement policies, taxonomy/guardrails, simulation and change governance.

- Knowledge and experience of Google Cloud Platform (GCP) - BigQuery, Pub/Sub, Dataflow (Apache Beam), Cloud Run/GKE, Cloud Functions, IAM, VPC/Private Service Connect, Cloud Logging/Monitoring, Secret Manager and Org Policies.

- Experience with digital signal CDP ecosystems (eg, Tealium/Celebrus, Adobe/AEP/AJO) and content experience assembly (eg, AEM, in-house mapping via Phoenix)

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

Role: Solution Architect,

Industry Type: Internet,

Department: Engineering - Software & QA,

Employment Type: Full Time, Permanent

Role Category: Software Development

Education

UG: Any Graduate

PG: Any Postgraduate read more

Key Skills cloud rundata securityaicloud loggingarbitrationfinopscloudapacheapi designapisdata sciencecompliancedistributed systemsbigqueryawsdata integrationcloud engineeringcloud functionsapache beamarchitectureazure

📌 Solution Architect (Hyderabad)
🏢 Lloyds Technology Centre
📍 Hyderabad