Databricks Architect-AI and Data Solutions Engineer
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Job Description
Structured overview of role & requirementsAbout This Role
Lead design, development, and deployment of enterprise-scale AI and data solutions integrating Microsoft Azure technologies.
Oversee full project lifecycle including planning, execution, evaluation, and mentoring of junior engineers.
Establish and enforce technical design standards and manage solution architecture for Azure cloud data platforms including data lakes, ETL pipelines, and analytics.
Minimum Requirements
6-9 years experience in architecture, design, implementation of distributed applications.
Hands-on experience with Microsoft Azure including Azure Data Factory, Databricks, Synapse Analytics, and data lake solutions.
Expertise in cloud migration, high availability/DR solutions, cloud strategy, and Agile Azure solution implementation.
Degree in BE/B.Tech/M.C.A./M.Sc or equivalent from accredited university.
Ideal Candidate Profile
Experienced in leading architectural decisions and strategy for enterprise Azure cloud data platforms.
Skilled in managing end-to-end data engineering lifecycle including ingestion, governance, and analytics on cloud ecosystems.
Capable of collaborating with cross-functional teams and communicating technical vision aligned to business goals.
