What You'll Do
Design and manage scalable data architectures on Azure using Databricks to support analytics and operational workflows. You'll build and refine data pipelines, warehousing models, and integration frameworks that align with business goals.
Work hand-in-hand with engineering, analytics, and business teams to turn requirements into functional, maintainable solutions. You'll lead the development of ELT processes, ensuring data accuracy, security, and compliance across systems.
Own the definition and enforcement of data modeling standards, governance policies, and platform best practices. You'll also troubleshoot performance issues, onboard new data sources, and mentor team members in modern data techniques.
Requirements
- Professional experience as a Data Architect, Data Engineer, or similar role
- Deep familiarity with Databricks and Azure services including Azure Data Lake, Synapse, and Data Factory
- Proven ability to design data models, pipelines, and cloud-based analytics systems
- Strong coding skills in SQL, Python, or Scala for data processing
- Understanding of data governance, access controls, and compliance in cloud environments
- Experience with dimensional modeling and data warehouse architecture
- Ability to communicate technical concepts to non-technical stakeholders
- Excellent problem-solving, documentation, and collaboration skills
- Fluent English
Benefits
- Flexible contracting options (Individual or B2B)
- Paid time off
- 100% remote work with global team collaboration
