Azure Data Architect

2 days ago

Mysore, India PineQ Lab Technology Full time

Experience: 12–15 Years Tech Stack: Azure Databricks (Data Fabric is a Plus) Work Model: On-site preferred for 2–3 months (Offshore possible if required) Location: Flexible – Any Location 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 leader—defining 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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