Azure Data Architect

2 days ago

Karnataka, 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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