OSS and Data Architect

10 years

0 Lacs

Posted:2 weeks ago| Platform: SimplyHired logo

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Job Description

Overview:
  • Need Telecom OSS and Solution Architect with telecom domain experience.

OSS Solution Architect Overview:
  • Should have handson and in-depth knowledge of different OSS systems for Cellular Mobile service for Enterprise/Retail customers OR Broadband service for Enterprise/Retail customers.
  • Should have solid understanding of different OSS applications that support Lead to Cash journey and/or Service Assurance journey and/or Network Plan & Build journey.
  • Should have conducted workshops to gather requirements from stakeholders, presenting different solution options to architects.
  • Should have solid understanding on of COTS/open source based applications.
  • Should have worked in RFI/RFPs.
  • Should have solid understanding of Target Operating Model and worked in Consulting proposals.
  • Should have expertise in:
**Experience in designing enterprise systems and building OSS stack
**Knowledge on Event/Data driven architecture, micro service framework and API integration

Data Engineering Architect Overview:
As a Data Engineering Architect, you will be responsible for designing and implementing robust data solutions that leverage both GCP and Hadoop technologies. You will create scalable data pipelines, optimize data storage, ensure data quality and accessibility, facilitate data migration projects, and provide pre-sales support to help articulate our data solutions to potential clients. Your expertise will be crucial in transforming complex data sets into actionable insights that align with our business objectives. Your knowledge of the business domain will be instrumental in understanding business requirements and translating them into effective data strategies.
Responsibilities:
OSS Solution Architect Roles & Responsibilities:
As a OSS Solution Architect, you will significantly contribute to identifying best-fit architectural solutions for one or more projects, develop application design and provide regular support/guidance to delivery teams.
Mandatory to have excellent understanding of Telecom Domain, and experience of Consulting / Solution Design / Solution Architecture for Telecom Solutions (Products and Services development).
  • Ability to analyze Telco processes, simplify them and develop solutions in alignment with architecture principles.
  • Understanding of Technology Landscape such as E2E OSS & BSS - Service/Network Inventory, Service Provisioning and Activation, Network Monitoring System, Network performance management system, Test & Diagnostics System, Element Management System knowledge is mandatory.
  • Knowledge on CRM/CPQ, Product Catalog, Order Management (OM), Service Order Management, Inventory Management, Microservices based Architecture, RPA, Service Fulfillment, Service Assurance, Billing, and Invoicing for B2C / B2B business is optional.
  • Experience in working with business and application teams to collect requirements and deliver solutions.
  • Experience in OSS is must, at least 10+ Years.
  • Understands Open API or TMF API specification or API based integration with partners
  • Define L2/L3 data model using reference data architecture like SID
  • Developing micro services-based architecture
  • TMF - open digital architecture or similar framework to develop channels architecture
  • Experience of using modelling tools for architecture development
  • As a Telecom Domain expert, you will be required to seek out the best ways to improve business processes and effectiveness through technology, strategy, analytic solutions.
  • Brings in strong knowledge in the telecom domain, and having working experience across Business and Technology Roles, across B2B and B2C businesses.
  • Experience with Business Analysis, Business Process Re-engineering, E2E Solution Design / Component or System Design / Solution Architecture, in Telecom OSS / BSS domain is required.
Good to have working experience on Digital Transformation, OSS/BSS Cloud Implementations, Network Transformation programs.
  • Should have a business focus, and an equal understanding of IT/Technology enablement, so as to be able to align the business goals/objectives to the IT delivery.
  • Good experience in data modelling and integration patterns.
  • Has good understanding of frameworks relevant for Telecommunications domain (for e.g. eTOM, SID, TAM, ITIL, ODA)
  • Able to understand and translate business requirements, and working with product / technical and operations teams to help design and build new Products and Services
  • Able to conduct workshops and design thinking sessions, to understand IT Process / Technology / Architecture and existing OSS/BSS implementations.
  • Able to deliver intelligent business insights through translation of reports and analytics.
  • Understanding of technologies such as 4G/5G/Metro Ethernet/ATM/MPLS/SONET/SDH etc. and their mapping to OSS systems is an added advantage.
  • Conduct proof-of-concept (POCs) for requirements.
  • Good communication and Presentation skills

Good to have
  • Understanding of autonomous networks and closed loop automation
  • Knowledge of Architecture design methodologies and Industry reference frameworks – TOGAF etc. – with a clear demonstration of the deliverables created as a result of applying the framework
  • Knowledge of 5G & IoT
  • Experience in any of the COTS products
  • Experience in Network optimization techniques
  • Understanding of intelligent applying across OSS land scape
  • Experience of working on network technologies
  • Knowledge of DevOps and open-source tools
  • Experience in any one of the programming languages - Java or Python
  • Experience in any one of the DB technologies - Oracle, MySQL, Postgres, Cassandra
  • Working with development teams and product managers to build software solutions/web applications

Data Architect Roles & Responsibilities:
  • Design and architect data solutions on Google Cloud Platform (GCP) and Hadoop ecosystems to support data ingestion, processing, and storage.
  • Develop and maintain data pipelines using tools such as Apache Beam, Dataflow, Hadoop, BigQuery and Hive.
  • Lead data migration projects, ensuring seamless transition of data from on-premises to cloud environments.
  • Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
  • Provide pre-sales support by engaging with potential clients, understanding their data needs, and presenting tailored solutions.
  • Implement data governance and data quality frameworks to ensure the integrity and reliability of data.
  • Optimize data models and storage solutions for performance and cost efficiency.
  • Provide technical leadership and mentorship to junior data engineers and analysts.
  • Stay updated with the latest trends and technologies in data engineering, GCP and Hadoop, Snowflake.
  • Work closely with stakeholders to understand their data needs and provide actionable insights.
Requirements:
  • Bachelor’s degree in Computer Science, Information Technology, or a related field; Master’s degree preferred.
  • Proven experience of around 10 to 20 years as OSS Architect
  • Strong analytical skills and Excellent problem-solving skills and the ability to work in a fast-paced environment.
  • Strong communication and collaboration skills.
  • Proven experience as Data Architect, with a strong focus on GCP and Hadoop.
  • In-depth knowledge of GCP services such as BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Dataproc, as well as Hadoop components like HDFS, MapReduce, and Hive.
  • Demonstrated experience in designing data pipelines and executing data migration projects.
  • Experience with data modeling, ETL processes, and data warehousing concepts.
  • Familiarity with programming languages such as Python, Java, or Scala.
  • Strong analytical skills and the ability to work with large data sets.
  • Excellent problem-solving skills and the ability to work in a fast-paced environment.
  • Strong communication and collaboration skills.
  • Following skills are desirable:
  • Experience with machine learning and data analytics tools.
  • Knowledge of data privacy regulations and best practices.
  • Certifications in GCP (e.g., Google Cloud Professional Data Engineer) and Hadoop related technologies are a plus.

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