Sr. Data Architect - Data Engineering 3

3502 Servicios Internacionales De Atencion Al Cliente, Limitada; Hyderabad; On-site; INR 25,000,000 - 45,000,000; Full time

Job summary

Genpact is seeking a Sr. Databricks Architect to lead data platform modernization for global clients.

You will own end-to-end data architecture, design enterprise-scale solutions, and drive AI/ML enablement across engagements. Responsibilities include client discovery, architecture reviews, governance, and mentoring engineering teams while delivering scalable, secure data architectures on Databricks and Azure.

Qualifications

• Experience in Data engineering/ 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.
• Proven track record of client-facing delivery - workshops, architecture reviews, executive presentations.
• Strong SQL and data modeling skills; experience with CI/CD for data pipelines (Databricks Asset Bundles, Repos).
• Experience with data mesh/data product architectures on Databricks.
• Databricks Certified Professional preferred.

Responsibilities

• 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.

Skills

Databricks Platform

Data Engineering

Azure Cloud

Fabric (One Lake)

Power BI

Data Modeling

CI/CD for Data Pipelines

Data Mesh/Data Product

SQL

Databricks Certification

Education

Bachelors - Business Analytics

Bachelors - Computer Science

Bachelors - Statistics

Masters - Data Science

Tools

Databricks

Microsoft Azure

One Lake Fabric

Power BI

CI/CD Tooling (Repos/Asset Bundles)

Job description

Sr. Data Architect

Ready to turn bold ideas into real-world impact?

At Genpact, we don't just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we're at the forefront of it. Genpact's AI Gigafactory , our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI , our breakthrough solutions tackle companies' most complex challenges.

If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment.

Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world's leading enterprises.

Get to know us at genpact.com and on LinkedIn , YouTube , X , and Facebook .

Job Description

Job Posting Title: Sr. Data Architect - Data Engineering 3

Job Description: Sr. Databricks Architect will design and deliver enterprise-scale One Lake Fabric solutions for global clients. This role combines deep technical ownership of the Databricks platform with client-facing leadership driving data modernization, AI/ML enablement, and platform adoption across client engagements.

Key Responsibilities:

• 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.

Required Qualifications:

• Experience in Data engineering/ 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
• Proven track record of client-facing delivery - workshops, architecture reviews, executive presentations
• Strong SQL and data modeling skills; experience with CI/CD for data pipelines (Databricks Asset Bundles, Repos)
• Experience with data mesh/data product architectures on Databricks
• Databricks Certified Professional preferred

Qualifications

• Bachelors - Business Analytics
• Bachelors - Computer Science
• Bachelors - Statistics
• Masters - Data Science

Certifications

• BUILD- IT/GOOGLE CLOUD - GenpactGenpact
• Certified Data Management Professional - RiversandRiversand
• Cloudera Certified Developer for Apache Hadoop (CCDH) - Techieventures TechnologiesTechieventures Technologies
• IBM Certified Solution Developer - WebSphere IIS DataStage Enterprise Edition v7.5 - IBMIBM
• Informatica Certified Designer - InformaticaInformatica

Required Skills

• Accounts Payable Process
• 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
• Informat