Azure Data Architect

Position

Experience:

Tech Stack:

Role Overview:

Azure Data Architect

Key Responsibilities:

• Lead data modernization and migration projects, from architecture design to deployment and optimization.
• Architect scalable, secure, and efficient data platforms leveraging

  Azure Databricks

  and Azure Data Services.
• Provide technical direction and mentoring to engineering teams to ensure quality and efficiency in delivery.
• Define and implement best practices for data ingestion, transformation, governance, and monitoring.
• Collaborate with client stakeholders to align technical approaches with business goals and project timelines.
• Introduce modern tools, frameworks, and methodologies to accelerate project execution.
• Oversee data platform performance, ensuring scalability and cost-effectiveness.
• Contribute to solution accelerators, reusable components, and internal knowledge assets.

Required Skills & Experience:

• 1215 years of experience in Data Architecture and Solution Design.
• Strong hands-on expertise with

  Azure Databricks

  for data engineering and analytics workloads.
• Deep understanding of

  Data Fabric

  concepts and their integration in Azure ecosystems.
• Proven experience in

  data and platform modernization

  initiatives, preferably at enterprise scale.
• Expertise in designing ETL pipelines, real-time data processing, and cloud-based data storage architectures.
• Strong command over data security, governance, and compliance best practices.
• Excellent communication and client-facing skills to lead architecture discussions and presentations.
• Ability to guide teams in implementing reusable patterns, automation, and DevOps-based data delivery.

Interested candidates can share their updated resumes to hemavarshini@sightspectrum.in