Lead Data Architect

Join our Team

About this opportunity:

Ericsson, a global leader in providing innovative technologies and communications services, is seeking a competent and agile ICT Architect to join our dynamic technology team. As an ICT architect, your role involves developing principles, models, and guidelines from strategic inputs and translating them into practical and cost-effective solution architecture. You'll work closely with a diverse group of internal stakeholders and external customers, providing solutions that amplify their competitive stance. This role demands an individual capable of serving as an internal consultant across various IT areas, offering expertise, guidance, and innovative techniques to meet the growing demand.

What you will do:

• Lead the design and development of data architecture and pipelines to facilitate advanced AI and analytics solutions.
• Define, develop, and review ELT/ELT processes. Design and develop data pipelines.
• Provide technical leadership across various data engineering projects by offering design
• guidance, overseeing development, and conducting code reviews.
• Contribute to defining and communicating the long-term strategy and priorities for the data office
• Collaborate with data platform and infrastructure teams to architect and integrate high-quality, resilient data feeds from across the organization.
• Engage with current and emerging data platforms and assume accountability for data engineering and architecture. Your extensive background in building large-scale data solutions, coupled with hands-on development experience will be essential for success.

The skills you bring:

• Over 12 years of professional expertise as a Data Engineer, specializing in building scalable data solutions.
• Extensive experience with data warehousing, dimensional modeling, data architecture, and database design.
• Proficiency in at least one major programming language (e.g., Java, Scala, Python) and strong command of SQL.
• Skilled in building modern data stacks, utilizing tools such as dbt, Informatica, Airflow,Snowflake, among others.
• Solid grasp of the data processing requirements for both real-time and batch systems,catering to transactional and analytical processing.
• Proven track record in developing ETL/ELT jobs and data pipelines, along with proficiency in job scheduling systems.
• Familiarity with RDBMS, NoSQL databases, and real-time streaming systems like Kafka,Spark, Flink, etc.
• Exceptional communication and presentation skills, capable of conveying technical concepts to diverse audiences and effectively managing stakeholders at all levels.