Everest DX – We are a Digital Platform Services company, headquartered in Stamford. Our Platform/Solution includes Orchestration, Intelligent operations with BOTs’, AI-powered analytics for Enterprise IT. Our vision is to enable Digital Transformation for enterprises to deliver seamless customer experience, business efficiency and actionable insights through an integrated set of futuristic digital technologies.

Digital Transformation

Services - Specialized in Design, Build, Develop, Integrate, and Manage cloud solutions and modernize Data centers, build a Cloud-native application and migrate existing applications into secure, multi-cloud environments to support digital transformation.

Our Digital Platform

Services enable organizations to reduce IT resource requirements and improve productivity, in addition to lowering costs and speeding digital transformation.

Digital

Platform - Cloud Intelligent Management (CiM) - An Autonomous Hybrid Cloud Management Platform that works across multi-cloud environments. helps enterprise Digital Transformation get most out of the cloud strategy while reducing Cost, Risk and Speed.

Job Title: Databricks Architect Job Type: Full-Time - Work from Office Experience: 8+ Years. We are looking for a senior Databricks Architect to lead the modernization of legacy reporting systems and guide a team in translating reporting requirements into trusted Gold-layer data products.



The role requires strong architecture, data modeling, and mentoring capabilities, along with a focus on automation and engineering best practices.

Lead analysis of legacy reports, data flows, and business requirements. Guide and mentor data engineers in building Gold-layer datasets and reporting solutions. Design scalable Gold-layer data models, KPIs, and business-ready data products.

Establish data governance, coding standards, documentation, and data quality practices. Identify and implement automation opportunities using GitHub Copilot and AI-assisted development tools. Drive CI/CD, version control, and deployment best practices for Databricks assets. 8+ years of experience in Data Engineering, Data Architecture, or Analytics Engineering. ~ Strong expertise in Databricks, Delta Lake, PySpark, and SQL. ~ Experience modernizing legacy reporting or analytics platforms. ~ Solid data warehousing and dimensional modeling experience. ~ Experience with data governance, engineering standards, and automation. ~ Hands-on experience with GitHub Copilot, Git, and CI/CD practices. ~ Experience with Azure, AWS, or GCP.

SAP data integration and reporting experience.

Experience with Power BI, Tableau, or similar reporting tools. Knowledge of Unity Catalog and enterprise data governance frameworks.

📌 Enterprise and Data Architect (Hyderabad)
🏢 EverestDX
📍 Hyderabad