Assistant Vice President - Data Architect

Ready to build the future with AI?
At Genpact, we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to 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 advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.
Inviting applications for the role of Assistant Vice President, Data Architect
The Assistant Vice President (AVP) – Data Architect is a senior leadership role responsible for defining, governing, and evolving the enterprise data architecture across cloud and hybrid environments. The role requires deep expertise in Snowflake, Databricks, AWS, Azure, and modern data engineering platforms. The AVP will drive the data strategy, ensure adherence to architectural best practices, and enable scalable, secure, and high‑performance data solutions that support analytics, AI/ML, and digital transformation initiatives.

Responsibilities
Enterprise Data Architecture
• Lead enterprise-wide data architecture strategy, frameworks, and roadmaps supporting business transformation and advanced analytics.
• Architect highly scalable data platforms leveraging Snowflake, Databricks, AWS, Azure, and other cloud-native services.
• Define data models, canonical structures, data flow patterns, and data integration strategies.
• Evaluate and select tools, technologies, and platforms aligned to long-term business goals.
Cloud Data Engineering & Platforms
• Design and optimize cloud data lakehouses, data marts, and warehouse environments.
• Drive end‑to‑end architecture for real-time, batch, and event-driven data ingestion pipelines.
• Ensure best practices in infrastructure-as-code, data ops, CI/CD, and automation for data workloads.
• Optimize performance, cost, and scalability across multi-cloud environments.
Governance, Quality & Security
• Establish standards for data governance, metadata management, data lineage, and data quality frameworks.
• Partner with security teams to design secure architectures aligned with regulatory needs (GDPR, HIPAA, PCI, etc.).
• Define policies for access control, encryption, and sensitive data protection across platforms.
Leadership & Stakeholder Management
• Lead a team of data architects and senior engineers; mentor and upskill cross-functional data teams.
• Collaborate with business leaders, product owners, and technology stakeholders to align architecture with strategic objectives.
• Present architectural proposals, trade-offs, and roadmaps to executive leadership and technology committees.
Innovation & Continuous Improvement
• Stay current with cloud data capabilities, AI/ML advancements, and emerging technologies.
• Drive PoCs, innovation programs, and modernization of legacy platforms into cloud-native solutions.
• Promote reusable architecture patterns and accelerators across the enterprise.

Qualifications we seek in you!
Minimum Qualifications
• Relevant years of experience in data architecture, enterprise architecture, and advanced data engineering.
• Deep hands-on architecture experience with:
o Snowflake (virtual warehouses, micro-partitioning, data sharing, performance tuning)
o Databricks (Delta Lake, Unity Catalog, MLflow)
o AWS (S3, Redshift, Glue, EMR, Lambda, Kinesis, IAM)
o Azure (Azure Data Lake, Synapse, Data Factory, Databricks on Azure, Purview)
• Strong background in SQL, Python, Spark, ETL/ELT, and data modeling (3NF, dimensional, Data Vault).
• Advanced knowledge of distributed computing, lakehouse architecture, and real-time data streaming.
• Experience with tools like Kafka, Airflow, Informatica, dbt, Terraform, Kubernetes (desirable).

Preferred Qualifications/ Skills
• Bachelor’s or master’s degree in computer science, Information Systems, Engineering, or related field.
• Certifications in Snowflake, Databricks, AWS, Azure preferred.
• Proven experience guiding architecture teams and delivering enterprise-scale solutions.
• Strong communication skills with the ability to translate technical concepts to business leaders.
• Strategic thinking with the ability to drive long-term vision and incremental value.
• Ability to manage ambiguity in fast-paced, matrixed environments.

Why join Genpact?
• Lead AI-first transformation – Build and scale AI solutions that redefine industries
• Make an impact – Drive change for global enterprises and solve business challenges that matter
• Accelerate your career—Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills
• Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace
• Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build
• Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.
Let’s build tomorrow together.
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training