Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000 people across 30 countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.

Inviting applications for the role of Assistant Vice President, Data Architect
We are seeking an experienced and visionary Data Architect to lead our data initiatives and drive the development of a robust and scalable data infrastructure. This role is critical in shaping the future of our data landscape, ensuring that our data architecture aligns with the business goals and enables data-driven decision-making across the organization. The ideal candidate will have extensive experience in data engineering and architecture, with a strong background in modern data platforms, design patterns, and best practices. You will play a pivotal role in guiding our data strategy, designing innovative solutions, and ensuring the seamless integration and management of data systems. This position offers the opportunity to work with cutting-edge technologies, collaborate with cross-functional teams, and make a significant impact on our data-driven culture.

Responsibilities
• Design, develop, and optimize data architectures, ensuring scalability, performance, and reliability.
• Lead end-to-end implementation of data solutions, from requirements gathering to deployment.
• Architect and manage scalable data infrastructure using platforms like Databricks, Snowflake, Azure Synapse, and Azure Fabric.
• Develop and implement a metadata management framework, including data ingestion processes.
• Ensure data privacy and security compliance across all data platforms and solutions.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Monitor, troubleshoot, and enhance data workflows and infrastructure.
• Provide technical leadership and mentorship to the data engineering team.
• Stay updated with the latest advancements in data architecture, engineering technologies, and industry best practices.
• Establish data governance policies and procedures to ensure data accuracy, quality, and accessibility.
• Develop and maintain data models and documentation for metadata, data dictionaries, and data lineage.
• Work closely with stakeholders to define data strategy and roadmap aligned with business objectives.
• Implement and oversee ETL processes for data integration and transformation.
• Conduct performance tuning and optimization of data systems to ensure efficient data processing.
• Evaluate and recommend new technologies and tools to enhance the data architecture.
• Lead the design and implementation of data security measures, including encryption, access controls, and monitoring.
• Facilitate the integration of data from various sources, ensuring consistency and reliability.
• Drive initiatives to improve data quality, accuracy, and reliability through data profiling, cleansing, and validation processes.
• Develop and enforce standards and best practices for data management and architecture.
• Coordinate with IT and security teams to implement robust data protection mechanisms.
• Mentor junior team members and promote a culture of continuous learning and innovation.

Qualifications we seek in you
Minimum Qualifications / Skills
• Bachelor’s degree in computer science, Information Technology, or a related field.
• Relevant years of experience in IT, with a significant portion focused on data architecture and engineering.
• Proven technical leadership experience and a track record of driving successful data initiatives.
• Certifications in relevant technologies (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Data Engineer) are a plus.
• Strong analytical skills and ability to translate business requirements into technical solutions.
• Ability to communicate complex technical concepts to non-technical stakeholders effectively.

Preferred Qualifications/ Skills
• Relevant years of experience as a Data Architect.
• At least 2 end to end implementations of data solutions.
• Proficiency in metadata management frameworks and data ingestion processes.
• Extensive knowledge of various data platforms, including Databricks, Snowflake, Azure Synapse, and Azure Fabric.
• Experience with Master Data Management (MDM) and data privacy standards.
• Strong understanding of data platform design patterns and best practices.
• Experience with data modeling techniques and tools.
• Knowledge of ETL processes and tools for data integration.
• Strong problem-solving skills and ability to troubleshoot complex data issues.
• Experience with cloud data platforms and technologies.
• Familiarity with data governance frameworks and best practices.
• Excellent communication and interpersonal skills, with the ability to work collaboratively with cross-functional teams.
• Strong project management skills and ability to lead data initiatives from concept to completion.
• Experience with data warehousing, data lakes, and big data technologies.
• Familiarity with AI/ML frameworks and their integration with data platforms is a plus.

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 diversity and inclusion, respect and integrity, customer focus, and innovation. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.
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.