Data Architect

Role: Data Architect

Location:

Mode:

Experience:

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Key Responsibilities:

·        Define and drive the data architecture roadmap aligned with business and analytics goals.

·        Design scalable and maintainable Lakehouse architectures using Azure services.

·        Establish best practices for data modeling, storage, and processing across structured and unstructured data.

·        Evaluate and recommend emerging technologies and architectural patterns.

Technical Execution:

·        Lead the development of data pipelines using Azure Databricks and Delta Live Tables.

·        Architect solutions leveraging Azure Data Lake Storage, Delta Lake, Azure Functions and other Azure-native services.

·        Ensure robust data governance, security, and compliance across platforms.

·        Optimize performance, scalability, and cost-efficiency of data solutions.

Project & Stakeholder Management:

·        Collaborate with cross-functional teams (Engineering, Analytics, Product) to translate business requirements into technical solutions.

·        Manage multiple data platform initiatives from design to deployment.

·        Present architectural decisions, trade-offs, and recommendations to senior leadership and stakeholders.

Required Qualifications:

·        Minimum 12 years of hands-on experience in data architecture, design, and coding.

·        Proven expertise in the Azure ecosystem, including Azure Databricks, Azure Functions, Azure Data Lake Storage (ADLS), Delta Lake / Delta Live Tables, Lakehouse architecture.

·        Strong programming skills in Python, SQL, PySpark and distributed data processing frameworks.

·        Experience with CI/CD, DevOps, and data orchestration tools.

·        Deep understanding of data modeling, ETL/ELT, and data warehousing principles.

·        Familiarity with data governance, security, and compliance frameworks.

Preferred Qualifications:

·        Azure certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect).

·        Experience with Databricks Unity Catalog, MLflow, or Apache Spark.

·        Exposure to data mesh or multi-agent architectures.

·        Experience with Azure AI Foundry, Azure ML and Azure Synapse.

Soft Skills:

·        Strong analytical and problem-solving skills.

·        Excellent communication and stakeholder engagement abilities.

·        Ability to lead and mentor technical teams.

·        Adaptability in a fast-paced, evolving technology landscape.