Enterprise Data Architect

About the Company:

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.

To know more please visit: http://www.everestdx.com

Job Title: Databricks Architect

Location: Hyderabad, Telangana

Job Type: Full-Time - Work from Office

Experience: 8+ Years.

Role Summary

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.

Key Responsibilities

• 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.
• Collaborate with business stakeholders to ensure reporting and analytics requirements are met.

Required Skills

• 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.
• Strong data warehousing and dimensional modeling experience.
• Proven ability to mentor teams and provide technical leadership.
• 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.

Preferred Skills

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