Data Architect (659653)

As the tech firm that created the mobile world, and with more than 54,000 patents to our name, we’ve made it our business to make a mark. When joining our team at Ericsson you are empowered to learn, lead and perform at your best, shaping the future of technology. This is a place where you're welcomed as your own perfectly unique self, and celebrated for the skills, talent, and perspective you bring to the team. Are you in?

Come, and be where it begins.

Our Exciting 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 become data driven. We continue to build up world class competence in this area to increase performance, deliver intelligence and to provide secure and scalable development, deployment and continued operations of Analytics and AI solutions including Data Services.

The Data architects identify the enterprise data needs, design and maintain the data assets to meet the customer needs. Further, use master blueprints to guide data integration, data flows, data assets management and align data modelling. Develop strategy to evolve data products and services with the purpose to achieve data consistency and performance across the analytics/data solutions. Support data management with for instance data governance, storage and operations.

The Data Architect will collaborate closely with other Data Architects as well as Data Engineers, Data Analysts, Developers, Product Managers and Key partners

You will

• Develop a strategy to quickly evolve data products and services to take advantage of Ericsson business opportunities
• Design plans to meet current and long-term data requirements
• Identify data storage and processing requirements. Recommend new technologies to improve the data assets
• Establish Data Architecture – evaluate existing data architecture specifications and develop a roadmap for the future
• Design end to end Data Architectures taking both specific business needs and our enterprise blueprints in to account to make sure we have efficient reuse and operations
• Lead the application development team on integration requirement between application and data layer. It is important that you are a practitioner as well as a lead, and that you have hands on experience to be able to practically guide other team members
• Deliver Data Architecture Artefacts (a) Outline of Strategic Data Requirements (b) Data Architecture Design and Integration Design to meet the requirements (c) Data Flow Design (d) Data Models (e) Data Value Chains (f) Support (and use) with Standard Business Vocabulary for data and components (g) Alignment with Enterprise Architecture and Enterprise Data Model and Reference Data Model (h) Implementation Roadmap for all data in scope
• Data Architects may work at an enterprise level or functional level. They may specialize in data warehousing, data marts and their associated integration processes
• Report to Head of Data & Analytics Architects Chapter

To be successful in the role you must have

• Data Management, Data Architecture, Data Modelling and Design skills and experience
• General IT System and Process knowledge
• Demonstrable ability to lead data and/or analytics architects
• Business understanding and data requirements analysis
• Knowledge-sharing and Collaboration Skills
• Presenting & Communicating Info
• Understands business value and committed to enable value delivery through data
• Intrapersonal skills and ability to empower and mentor team members

Preferred Qualification and Experience Requirements

• An appropriate degree in computer science or related disciplines; and relevant industry experience
• Experience in Data & Analytics
• Experience of working in data management and governance, implementation in larger organizations is an advantage

Detailed technical skills and experience requirements

Any of the experiences and skills listed below is a merit, the more the better, but not all of them are required

• Cloud Agnostic Data Platforms such as Snowflake, Databricks and SAP Data Warehouse Cloud
• Cloud Native Data Platforms (Azure Synapse Analytics, Amazon Redshift)
• Azure services – Azure Data factory (ADF), Azure Databricks (ADB)
• Designing data products
• Publishing data using data marketplace platform
• Authorization methods including Role Based Access Control and Policy Based Access Control.
• Data mesh implementation and federated model for data product development
• Relational Data Modeling with 3NF and Data Vault in Analytics
• Data ingestion and provisioning over APIs
• Batch and streaming processing (for instance Apache Spark, Storm) and relevant back-end languages such as Python and SQL
• Modern analytics architectures including cloud native, microservices architecture, virtualization, Kubernetes and containerization
• Messaging, (for instance Apache Kafka)
• NoSQL DBs, like Cassandra and MongoDB
• RDBMS such Oracle, MS SQL, MariaDB or PostGRE, both row based and columnar based
• Software Development including Agile/Scrum, CI/CD, Testing and Configuration Management, GIT/Gerrit
• Experience with ETL tools (Talend, Informatica, BODS etc.)
• Big data technologies, such as Hadoop, Hive, and Pig, MAPR or Enterprise data warehousing initiatives
• ElasticSearch (ELK stack)
• BI Tools Such as Tableau, PowerBI, and also web-based dashboards and solutions

What´s in it for you?

Here at Ericsson, our culture is built on over a century of courageous decisions. With us, you will no longer be dreaming of what the future holds – you will be redefining it. You won’t develop for the status quo, but will build what replaces it. Joining us is a way to move your career in any direction you want; with hundreds of career opportunities in locations all over the world, in a place where co-creation and collaboration are embedded into the walls.

What happens once you apply?

To prepare yourself for next steps, please explore here: https://www.ericsson.com/en/careers/job-opportunities/hiring-process

Location for this role: Kista, Sweden

Hiring Manager: Head of Data Architect Chapter

Recruiter: Sarah Lashari, [email protected]

Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, learn more.

Primary country and city: Sweden (SE) || Sweden : Stockholm : Stockholm

Req ID: 659653