Data Architect

3 weeks ago

Gurugram Gurugram India VirtueS Full time

Job Description

Role: Data Architect

Location:Gurugram

Mode:Hybrid (3 days WFO)

Experience: 12+ Years

Employment type: Contract

Duration: 6+ Months

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.

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