Role Overview :
Seeking an accomplished End-to-End (E2E) Data Architect to lead the design and implementation of large-scale Big Data solutions.
The ideal candidate will combine deep expertise in modern data platforms with proven experience in high-volume, mission-critical telecom or financial services environments.
Prior exposure to the Ericsson Wallet Platform is highly preferred.
Key Responsibilities :
- Define the end-to-end data architecture and data engineering roadmap across Hadoop, Spark, Kudu, HBase, and Impala ecosystems.
- Design and optimize data ingestion, transformation, storage, and real-time processing pipelines to meet business and regulatory requirements.
- Collaborate with cross-functional teams (business, analytics, infrastructure, security) to ensure scalability, availability, and performance of the data platform.
- Establish data governance, metadata management, and best practices for data quality and security.
- Provide technical leadership, mentoring, and code / design reviews for development teams.
- Drive PoCs for emerging technologies and recommend architectural improvements.
Primary Skills & Technologies
Big Data Platforms : Hadoop, Spark, Kudu, HBase, ImpalaData Architecture & Modelling : Enterprise data models, data lakes, real-time and batch processingCloud & Infrastructure : Experience with hybrid or on-prem big data clustersPreferred : Hands-on exposure to Ericsson Wallet Platform understanding of wallet services, mobile money integrations, and telecom financial 12+ years of IT experience with at least 10+ years in Big Data architecture and solution design.Proven track record of delivering complex, high-availability data solutions in telecom, fintech, or similar high-transaction domains.Strong stakeholder management and excellent communication skills.Resource Information
(ref : hirist.tech)