Ready to build the future with AI
At Genpact we dont just keep up with technologywe set the pace. AI and digital innovation are redefining industries and were leading the charge. Genpacts AI Gigafactory our industry-first accelerator is an example of how were 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 whats 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 and on LinkedIn X YouTube and Facebook.
Inviting applications for the role of Senior Principal Consultant Databricks Tech Lead!
Position Summary:
As a Databricks Technical Lead Data Engineer you will play a pivotal role in leading and mentoring data engineering teams architecting and designing robust data solutions on Databricks and serving as the primary technical point of contact for clients. You will leverage your deep expertise in Databricks technologies data engineering best practices and leadership skills to drive successful project delivery and ensure client satisfaction.
Key Responsibilities:
Leadership: Provide technical guidance and mentorship to data engineering teams fostering a culture of innovation and continuous improvement.
Architecture: Design and architect scalable high-performance data solutions on Databricks leveraging components like Delta Lake Databricks Workflows Databricks SQL Databricks Machine Learning and MLflow to meet client requirements.
Engagement: Serve as the primary technical point of contact for clients understanding their business needs and translating them into effective data solutions.
Management: Lead and manage end-to-end project delivery ensuring projects are completed on time within budget and to the highest quality standards.
Modeling: Develop and maintain comprehensive data models that support analytics reporting and machine learning use cases.
Optimization: Continuously monitor and optimize data pipelines and systems within the Databricks environment to ensure optimal performance and cost-efficiency.
Evangelism: Stay abreast of the latest Databricks technologies and industry trends and advocate for their adoption within the organization.
Collaboration: Foster strong collaboration with data scientists analysts and other stakeholders to ensure alignment and successful project outcomes.
Qualifications we seek in you!
Minimum Qualifications
Bachelors or Masters degree in Computer Science Engineering or a related technical field
experience in data engineering with experience in technical leadership role
Deep expertise in Databricks technologies and data services
Proven track record in architecting and delivering complex data solutions on Databricks
Strong leadership communication and client-facing skills
Experience in data modeling ETL processes and data warehousing
Excellent problem-solving analytical and decision-making skills
Technical Skills and Expertise:
Databricks Components: Deep understanding of core Databricks components for data engineering including Delta Lake Databricks Workflows Databricks Jobs Databricks SQL Databricks Machine Learning MLflow Unity Catalog Databricks Repos and Databricks Notebooks
Programming Languages: Proficiency in Python SQL PySpark and Spark for data processing transformation and analysis
Data Warehousing and ETL: Expertise in designing and implementing data warehousing solutions ETL processes and data modeling techniques within the Databricks Lakehouse architecture
Machine Learning: Familiarity with Databricks Machine Learning and MLflow for model development tracking and deployment
Big Data Technologies: Expertise in big data frameworks like Apache Spark for handling large-scale data processing within the Databricks environment
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 careerGain 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 140000 coders tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.
Lets 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.
Required Experience:
Staff IC
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