Key skills
PythonSQLData EngineeringData LakeSnowflakeDatabricksSparkAzureVaultLeadershipFirewall
About this role
Data Architect
Role type: Long-term Contract
Location: 100% Remote
Job Overview
We are seeking an experienced Data Architect to translate business and information architecture into scalable, secure, and high-performing technical data solutions. This role is responsible for defining the how designing end-to-end data architectures, pipelines, and integration frameworks in a global enterprise environment.
The ideal candidate will have deep expertise in Azure data services, modern data engineering practices, and cloud networking, with a strong ability to convert conceptual models into actionable technical blueprints.
Key Responsibilities
- Design and implement end-to-end data architecture across ingestion, processing, storage, and consumption layers
- Translate business and information architecture artifacts into technical data blueprints and solution designs
- Architect scalable and reliable data pipelines using Azure Data Factory and Azure Databricks
- Define data integration patterns, including batch, streaming, and real-time processing
- Collaborate with cross-functional teams including Data Engineers, Analysts, and Business Stakeholders
- Ensure data governance, security, and compliance across global data platforms
- Design and optimize data models (conceptual, logical, and physical)
- Establish best practices for data quality, lineage, and observability
- Work closely with cloud teams to define networking, security, and infrastructure architecture
- Provide technical leadership and guidance on data platform modernization initiatives
Required Skills & Qualifications
- 8+ years of experience in data architecture or data engineering roles
- Strong hands-on experience with:
- Azure Data Factory (ADF)
- Azure Databricks
- Azure Data Lake / Storage solutions
- Solid understanding of cloud networking concepts (VNet, Private Endpoints, Firewall, etc.)
- Proven experience designing enterprise-scale data pipelines and architectures
- Expertise in SQL, Python, and Spark-based processing frameworks
- Experience with data modeling techniques (Star Schema, Snowflake Schema, Data Vault)
- Familiarity with data governance and security frameworks
- Experience working in global / distributed environments