Senior Manager - Senior 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.

We are inviting applications for the role of Senior Manager - Senior Data Architect

We are looking for a highly experienced Senior Data Architect to lead the design and implementation of our unified data architecture. This strategic role involves collaborating with cross-functional teams to build scalable, secure, and efficient Lakehouse platforms leveraging Databricks, Spark, PySpark, DataOps, and MLOps practices. You will define data strategies, architect robust pipelines, and enable advanced analytics and machine learning capabilities across the organization.
Responsibilities

• Architect and implement scalable Lakehouse solutions using Databricks and open data formats (Delta Lake, Parquet).
• Design and optimize high-performance distributed data processing systems using Apache Spark and PySpark.
• Establish data architecture patterns that enable real-time and batch data processing across structured and unstructured data.
• Integrate DataOps and MLOps practices to automate and streamline data pipeline deployments, monitoring, and lifecycle management.
• Lead architectural design sessions, data modeling efforts, and performance tuning activities.
• Define data governance, metadata management, and data quality frameworks.
• Mentor data engineering and analytics teams on best practices and technical implementation.
• Collaborate with business stakeholders, data scientists, and DevOps teams to understand data needs and deliver comprehensive data solutions.

________________________________________

.
Qualifications we seek in you!
Minimum Qualifications

• experience in designing and implementing data solutions in large-scale enterprise environments.
• Deep expertise in Databricks, including Delta Lake, Unity Catalog, and MLflow.
• Advanced experience in Spark, PySpark, and distributed data systems.
• Strong proficiency in Python and SQL for data engineering and modeling tasks.
• Hands-on experience with DataOps tools and practices (e.g., CI/CD for data, observability, versioning).
• Working knowledge of MLOps workflows including model deployment, monitoring, and lineage.
• Solid understanding of cloud data platforms such as AWS, Azure, or GCP.
• Experience in implementing security, privacy, and compliance controls in modern data platforms.
• Strong leadership, communication, and documentation skills.

Preferred Qualifications/ Skills

• Certification in Databricks (e.g., Databricks Certified Data Engineer/Architect).
• Experience with real-time data streaming technologies such as Kafka or Delta Live Tables.
• Familiarity with orchestration tools like Airflow, Databricks Workflows, or Dagster.

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.