Solution Architect

We are seeking a highly experienced and motivated Solution Architect to design, build, and lead scalable data solutions on Google Cloud Platform. The ideal candidate will bring deep expertise in distributed systems, large-scale data engineering, and cloud-native architecture, along with strong hands-on capabilities and leadership in enterprise environments.

Responsibilities

Design and architect end-to-end data solutions leveraging Google Cloud technologies; Lead the development of scalable, resilient, and high-performance data pipelines; Define architecture standards, best practices, and design patterns for data engineering and analytics; Collaborate with cross-functional teams (product, engineering, operations) to translate business requirements into technical solutions; Drive data modelling strategies for enterprise-scale systems; Ensure implementation of data quality frameworks, including validation, auditing, and monitoring mechanisms; Lead CI/CD pipeline design and cloud deployment strategies using modern DevOps practices; Provide technical leadership, mentorship, and governance across delivery teams; Review and enforce architectural compliance, security, and scalability principles

Requirements

At least 10+ years’ experience as a Software Developer; Understanding and experience with Google Cloud architecture; Building Data pipelines with Data proc Cluster, Cloud Run, Pub sub, Cloud Composer (Airflow), Cloud functions; Fluent in object-oriented languages, preferably Python, Scala, Java; Proficiency with build tools like SBT; In-depth knowledge of database and data warehouse technologies & concepts from Google (e.g., Big Query, Cloud SQL); Fluent in SQL; Good experience with enterprise-scale data modelling; Strong understanding of distributed systems architecture; Data quality process experience including data cleansing, audits and alerts, triage mechanisms & processes, and referential integrity; CI/CD: Release, deployment with Cloud build and git flow, GKE, Docker; All academic credentials must be from recognized and accredited institutions and are further subject to verification

Nice to have

Google Cloud Professional Cloud Architect certification; Google Professional Data Engineer certification; Domain experience working on Telecom Performance Management Systems