Genpact is hiring a Senior Manager - Senior Data Architect to lead the design and implementation of their unified data architecture. The role involves collaborating with cross-functional teams to build scalable, secure, and efficient Lakehouse platforms leveraging Databricks, Spark, PySpark, DataOps, and MLOps practices.
Requirements
- 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
Benefits
- 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