Job summary
This role involves leading the development and modernization of a cloud-native data platform within a healthcare technology company focused on aging care. The Staff Data Engineer will design and build scalable, secure data systems supporting analytics, machine learning, and operational workflows primarily on AWS infrastructure. The position requires strong technical leadership, cross-team collaboration, and a focus on data governance, reliability, and cost efficiency.
Location and work setup
- Location
- Tromsø
- Work setup
- Remote
Salary
USD 194000.00–220000.00 year
Responsibilities
Lead the architecture and implementation of an AWS-native data platform, including data warehouses and orchestration frameworks. Define standards for infrastructure as code and data transformation practices. Establish data governance, metadata management, and access controls to enable trusted and discoverable data use, including AI-powered workflows. Drive monitoring, observability, and data quality measures to ensure platform reliability and performance. Collaborate with multiple teams including data science, analytics, and product to influence platform strategy and deliver business impact. Provide mentorship and technical guidance across teams.
Qualifications
8-10+ years of experience building and maintaining large-scale data platforms in cloud environments, especially AWS. Proven ability to lead complex technical projects and influence architecture decisions. Strong background in software engineering and modern data warehousing concepts. Expertise with tools such as Python, Amazon Redshift, Airflow, dbt, Datadog, Fivetran, and AWS CDK. Experience designing data governance and supporting AI or machine learning initiatives. Demonstrated leadership in platform modernization and cross-functional collaboration. Preferred experience includes staff or principal engineer roles and familiarity with AI-assisted development tools.