Description

You will design and evolve data architecture to support a federated, domain-oriented data mesh.

Responsibilities

• Model domain-specific data assets based on business capabilities to ensure ownership, interoperability, and alignment with analytical needs.
• Develop and oversee data integration pipelines using Azure Data Factory, Databricks, and Synapse.
• Define reusable data products and establish quality standards, access contracts, and discoverability across domains.
• Design cost-effective, scalable solutions that contribute to FinOps practices and optimize cloud resource usage.
• Apply Microsoft Purview to manage metadata, lineage, classification, and regulatory compliance.
• Deliver architectural artefacts including integration blueprints, product specifications, and security-aware data flow diagrams.

Required Skills

• 6+ years of experience as a Data Architect or Senior Data Engineer.
• Hands-on experience with Azure Data Factory, Databricks, and Synapse.
• Experience implementing data mesh principles and decentralized data ownership.
• Proficiency in designing data integration, transformation, and orchestration pipelines.
• Knowledge of data governance, metadata management, and lineage using tools like Microsoft Purview.
• Ability to create architectural standards, guidelines, and templates for analytics and AI/ML initiatives.
• English language proficiency at C1 level or higher.
• Degree in any field (Any Graduate).

Key Skills

Education

Any Graduate