Sr. Data Architect - Data Engineering 3

Overview

Design and deliver enterprise-scale One Lake Fabric solutions for global clients. Combine deep technical ownership of the Databricks platform with client-facing leadership across data modernization, AI/ML enablement, and platform adoption.

What you'll do

• Lead client discovery and executive-level solutioning, translating complex business requirements into scalable, secure, and high-performance Databricks data architectures.
• Own end-to-end data architecture strategy, developing blueprints, data models, integration patterns, and data flows aligned to business and technology objectives.
• Drive cloud and data platform modernization and define migration strategies from legacy data warehouses, on-premises platforms, and traditional architectures to Databricks.
• Establish enterprise data governance frameworks, defining standards for data quality, lineage, security, privacy, access control, and compliance using Unity Catalog and Databricks-native capabilities.
• Define and institutionalize data architecture standards and best practices, ensuring consistency, scalability, interoperability, performance, and long-term maintainability across data platforms.
• Evaluate emerging technologies and platform capabilities, recommending strategic tools and solutions that accelerate analytics, AI, data management, and modernization.
• Drive platform performance, security, and regulatory compliance, optimizing data infrastructure while ensuring adherence to enterprise security policies, data privacy regulations, and governance requirements.
• Serve as the senior technical advisor and client-facing authority, leading technical presentations, architecture reviews, solution workshops, and stakeholder discussions.
• Provide technical leadership and mentorship to engineering teams, establishing Databricks best practices and acting as the senior escalation point for complex architecture, performance, and delivery challenges.

What you'll need

• Experience in data engineering or architecture, with hands-on experience with Databricks in production environments.
• Experience with Microsoft Azure Cloud, Microsoft Fabric (One Lake), Power BI, and Databricks' native integrations.
• A proven track record of client-facing delivery, including workshops, architecture reviews, and executive presentations.
• Strong SQL and data modeling skills.
• Experience with CI/CD for data pipelines, including Databricks Asset Bundles and Repos.
• Experience with data mesh or data product architectures on Databricks.
• Bachelor's degree in Business Analytics, Computer Science, or Statistics, or a Master's degree in Data Science.
• Proficient English language proficiency at C2 level.
• Required skills include Accounts Payable Process, Accounts Receivable (AR), Aerospace Manufacturing, Agile Methodology, Automotive Manufacturing, Banking Capital Markets, Change Management, Claims Management, Client Relations, Cloud Computing, Collaboration Tools, Computer Vision, Consumer Electronics, Consumer Packaged Goods (CPG), Databricks Platform, Data Engineering, Design Thinking, Electronic Hardware, Entertainment Journalism, Executive Presence, Healthcare Payors, Inclusion, Industrial Manufacturing Processes, and Information Security.

Nice to have

• Databricks Certified Professional.

Details

• Location: Hyderabad, Telangana, India.
• Work mode: Hybrid.
• Work shift: Flex Time (India).
• Employment type: Regular.