Data & Analytics Architect

About this opportunity:
Group Data and Analytics is a function with the aim to craft and execute our Analytics and AI strategy, vision and to ensure multi-functional execution for Ericsson to transform into an Intelligent enterprise. AI and Data is a key theme for Ericsson to become data driven, and we continue to build up elite competence in this area to increase performance, deliver intelligence and to ensure, secure and scalable development, deployment and continued operations of Analytics and AI solutions.

What you will do:
Facilitate requirement analysis with Stakeholders for Data Collection, Analytics, & Machine Learning Requirements
Work with Digital Product Owner to ensure understanding of business requirements in Data Management for the respective functional area
Identify and propose new opportunities for data services
Define characteristics for wanted scale, redundancy, distribution, protection, etc. criteria for different types of data services
Responsible of technical solutions in the context of Data Collections, Analytics, & Machine Learning ensuring alignment of data services architecture and architectural principles and to business needs
Work with Developers and other FA Architects for cross functional data requirements
Support with technical lead scrum teams during development.
Define and design appropriate interfaces for data update, retrieval queries and recommended workflows based on specific data use case
Accountable for technical documents when needed, e.g. FA or solution level architecture descriptions, SOD (Solution Overview Document), Design Specs.
Support definition of future strategic direction of the Data Collection, Analytics, Architecture recommending (internal or sourced) technologies and solutions
Ensure adherence to development guidelines and processes by development teams for respective solutions/portfolios.

The skills you bring:
We are looking for a candidate with 5+ years of experience as Data Architect, Solution Architect or Data Engineer who has attained a Graduate degree (B.E/ BTech/Mtech ) in Computer Science and Information Systems or another quantitative field.
Strong understanding and experience on Snowflake Architecture,
Able to create the design and data modelling independently using data vault 2.0,
Experienced on Batch and streaming processing (for instance Apache Spark, Storm) and relevant back-end languages such as Python, Pyspark and SQL
Software Development including Agile/Scrum, CI/CD, Testing and Configuration Management, GIT/Gerrit
BI Tools Such as Tableau, PowerBI, and also web-based dashboards and solutions