Hiring.Camp

Solution Architect

Lbg

·

Today

Location
Hyderabad Knowledge Park Tower 2, India
Workplace
Hybrid
Type
Full-time
Department
Engineering
Experience
15+ years
Closing date
Today
Source
Workday

Description

End Date

Thursday 29 October 2026

We Support Flexible Working – Click here for more information on flexible working options

Flexible Working Options

Hybrid Working

Job Description 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.

Job Description

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 (e.g., 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 (e.g., BigQuery, streaming), Kafka/eventing, and digital signal sources (e.g., 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 (e.g., 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. 
  • Modern 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 (e.g., Tealium/Celebrus, Adobe/AEP/AJO) and content & experience assembly (e.g., AEM, in‑house mapping via Phoenix).  
  • ML/MLOps familiarity (model monitoring, explainability, bias/fairness controls, offline/online learning, experimentation at scale).  
  • Prior work in large‑scale multi‑brand contexts (contact policies, suppression, pressure rules, governance). 

 

How we work 

  • Product‑led lab model with autonomous squads, clear guardrails and fortnightly demos—optimising for rapid, safe iteration. 
  • Strong governance & measurement culture: transparent change processes, defined success metrics (up‑time/SLA, time‑to‑release, policy compliance, incremental uplift).  
  • Hybrid, collaborative ways of working across UK and our global technology centres. 

 

What you’ll get 

  • Opportunity to define and scale the real‑time decisioning backbone for millions of customers, shaping a platform that blends best‑of‑breed vendor capability with modern, open architecture. 
  • A culture that values inclusion, psychological safety and continuous learning. 
  • A generous pension contribution of up to 15% 
  • An annual bonus award, subject to Group performance  
  • Share schemes including free shares! 
  • Benefits you can adapt to your lifestyle, such as discounted shopping. 
  • 30 days’ holiday, with bank holidays on top 
  • A range of wellbeing initiatives and generous parental leave policies 

 

Want to do amazing work, that’s interesting and makes a difference to millions of people? 

Skills

AWSAzureGCPCI/CDBigQueryData ScienceCompliance

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Solution Architect at Lbg | Hiring.Camp