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Urgent! Databricks Architect Job Opening In USA, USA – Now Hiring Akaasa Technologies

Databricks Architect



Job description

<table class="Table" style="border-collapse:collapse; border:solid #a3a3a3 1.0pt" summary="" title=""> <tbody> <tr> <td style="border:solid #a3a3a3 1.0pt; background:#e8e8e8; width:315.3pt; border-top:none; padding:4.0pt 4.0pt 4.0pt 4.0pt" valign="top" width="420"> <p><b>Title: </b></p> </td> <td style="border-bottom:solid #a3a3a3 1.0pt; background:#e8e8e8; width:37.3pt; border-top:none; border-left:none; border-right:solid #a3a3a3 1.0pt; padding:4.0pt 4.0pt 4.0pt 4.0pt" valign="top" width="50"> <p> </p> </td> <td style="border-bottom:solid #a3a3a3 1.0pt; background:#e8e8e8; width:3.0in; border-top:none; border-left:none; border-right:solid #a3a3a3 1.0pt; padding:4.0pt 4.0pt 4.0pt 4.0pt" valign="top" width="288"> <p> Databricks Architect </p> </td> </tr> </tbody> </table> <p> </p> <p>Position Overview:</p> <p>We are seeking a highly skilled and strategic Lead Databricks Architect to spearhead our migration from Hadoop to Databricks, establishing scalable, repeatable Lakehouse solutions.

You will lead the design, implementation, and optimization of cloud-based data platforms, enabling advanced analytics, AI capabilities, and modern data governance.

This role requires deep expertise in big data architectures, hands-on experience with Databricks, and a proven track record in cloud migration projects.</p> <p>Key Responsibilities</p> <ul> <li>Lead the identification and categorization of existing Hadoop workloads (ETL, batch, streaming) and data sources for migration to Databricks.</li> <li>Design and implement scalable, repeatable migration use cases, focusing on MVP (Minimum Viable Product) approaches to accelerate value delivery.</li> <li>Provision and architect Databricks environments, including sandbox workspaces with Lakehouse architecture and federation capabilities.</li> <li>Enable seamless connectivity to external data sources (e.g., Hive) and oversee pilot migrations using tools such as Databricks Migration Accelerator or third-party partner solutions.</li> <li>Validate migrated workloads for performance, cost efficiency, and data integrity, leveraging features like Z-ordering, Liquid Clustering, Lakehouse AI monitoring, and Serverless warehouse capabilities.</li> <li>Monitor query performance, storage efficiency, and pipeline health using advanced Databricks features and best practices.</li> <li>Collaborate cross-functionally with data engineering, analytics, and governance teams to validate outcomes and incorporate feedback.</li> <li>Document learnings, blockers, and feature gaps to inform broader rollout and continuous improvement efforts.</li> <li>Define and track success metrics such as migration time, query latency, cost savings, and feature adoption.</li> <li>Develop a phased roadmap for full-scale migration, advanced feature adoption, and future platform optimizations.</li> </ul> <p>Qualifications</p> <ul> <li>Bachelor's or Master's degree in Computer Science, Engineering, or related field.</li> <li>10+ years of experience in data architecture, with significant hands-on experience in Hadoop and Databricks environments.</li> <li>Proven expertise in cloud data platforms (Azure), data engineering, and ETL processes.</li> <li>Strong understanding of Lakehouse architecture, data federation, and modern data governance frameworks (e.g., Unity Catalog).</li> <li>Experience leading large-scale migration projects, including MVP definition and iterative delivery.</li> <li>Advanced proficiency with Databricks features such as Delta Lake, Liquid Clustering, AI monitoring, and serverless compute.</li> <li>Excellent communication, leadership, and stakeholder management skills.</li> <li>Ability to mentor and guide cross-functional teams in adopting best practices and innovative data solutions.</li> </ul> <p>Preferred Skills</p> <ul> <li>Experience with Databricks Migration Accelerator or similar migration tools.</li> <li>Hands-on expertise in testing advanced features (dynamic clustering, Lakehouse Federation, Unity Catalog).</li> <li>Knowledge of data security, access controls, and compliance in cloud environments.</li> <li>Experience generating synthetic data and ensuring data governance in migration scenarios.</li> </ul> <p> </p>


Required Skill Profession

Computer Occupations



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