Big Data Architect - Telecom

- Articulate business and data requirements from business analysts across the various functional and business areas and then design/manage enterprise big data architecture, data governance, and automated data reconciliation.

- Hands-on technical big data architect with extensive experience in designing big data solutions using open source and cloud native technologies.

- Technical line management of remote big data engineering team (10-15). Responsible for engineering excellence, resource management, hiring, coaching engineers, and timely delivery of committed work.

- Create and maintain big data architectural & design artefacts to ensure the up to date documentation for the relevant program and projects is readily available; ensuring knowledge is disseminated.

- Contribute to the evolution and planning of the enterprise architecture from data perspective by ensuring solutions are developed inline with roadmap.

- Collaborate with a wide range of stakeholders to identify and define customer needs

- Involve in partner selection and partner resource selection to ensure that the right partner/resource are selected who would be assisting the company in development & engineering.

- Be the voice of the customer in the context and value of the business requirements

- Manage the Technical Product Backlog of epics and features and drive prioritization

- Support data lake design, development, release schedule and maintain a development road map

- Ability to clearly articulate pros and cons of various technologies and platforms and architectural options to be able to document use cases, solutions, and recommendations

- Advocate and champion the DataOps within the business, will be responsible that the existing datalake solution running smoothly on data to day basis.

- Maintain your own personal skills and knowledge in the field of enterprise architecture and your functional domain specialization. Actively contributing to the definition of the overall standards for design, development/configuration (including tools) and related documentation.

Skills:

- Demonstrable experience owning and developing big data solutions, using Hadoop, Hive/Hbase, Spark, Databricks, ETL / ELT for 5+ years

- 10+ years of Information Technology experience, preferably with Telecom / wireless service providers.

- Experience in designing data solution following Agile practices (SAFe methodology); designing for testability, deployability and releaseability; rapid prototyping, data modeling, and decentralized innovation.

- DataOps mindset: allowing the architecture of a system to evolve continuously over time, while simultaneously supporting the needs of current users

- Create and maintain Architectural Runway, and Non-Functional Requirements.

- Design for Continuous Delivery Pipeline (CI/CD data pipeline) and enables Built-in Quality & Security from the start.

- To be able to demonstrate an understanding and ideally use of, at least one recognized architecture framework or standard e.g. TOGAF, Zachman Architecture Framework etc

- The ability to apply data, research, and professional judgment and experience to ensure our products are making the biggest difference to consumers

- Demonstrated ability to work collaboratively

- Excellent written, verbal and social skills - You will be interacting with all types of people (user experience designers, developers, managers, marketers, etc.)

- Ability to work in a fast paced, multiple project environment on an independent basis and with minimal supervision

- Technologies: .NET, AWS, Azure; Azure Synapse, Nifi, RDS, Apache Kafka, Azure Data bricks, Azure datalake storage, Power BI, Reporting Analytics, QlickView, SQL on-prem Datawarehouse; BSS, OSS & Enterprise Support Systems