Azure Data Architect

2 days ago

Pune, Maharashtra, India DHI Solutions Full time ₹ 12,00,000 - ₹ 18,00,000 per year

Description
Role Overview :
Seeking a highly skilled
Azure Data Architect
with deep expertise in Databricks to lead enterprise data modernization and migration projects. The ideal candidate will serve as a hands-on technical leaderdefining architecture, guiding delivery teams, and ensuring alignment between client strategy and technical implementation.

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

  • 12- 15 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.

Engagement Flexibility

  • On-site preferred : Candidate may be required on-site for 2- 3 months for alignment and execution.
  • Remote option : Offshore work acceptable for suitable candidates with strong delivery ownership.

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