Data Architect - Data Engineering 4D

Data Architect Ready to turn bold ideas into real-world impact? At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory , our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or 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 agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises. Get to know us at genpact.com and on LinkedIn , YouTube , X , and Facebook . Job Description Inviting Applications for Senior Principal Consultant - Data Architect, Data Engineering! A Data Architect who can design and implement data modernization solutions in the cloud is responsible for developing and implementing data architecture strategies for organizations transitioning their data systems to the cloud. They collaborate with stakeholders to understand business requirements and translate them into scalable, secure, and high-performing data solutions. The Data Solution Architect works closely with data engineers, data scientists, and other IT professionals to design and deliver robust data platforms and architectures. Responsibilities: Collaborate with stakeholders to understand business requirements and translate them into data architecture strategies and solutions. Design and develop scalable, secure, and high-performing data architectures in the cloud, leveraging cloud technologies and services. Modernize legacy data systems and migrate them to cloud-based architectures, ensuring smooth transition and minimal disruption. Collaborate with data engineers, data scientists, and other IT professionals to design and implement data pipelines, data transformation processes, and data integration solutions. Ensure data governance principles and best practices are implemented, including data quality controls, data privacy, and compliance. Optimize data platforms for performance, scalability, and cost efficiency, monitoring and troubleshooting any issues that may arise. Stay updated with the latest trends and advancements in cloud technologies and data architecture, continuously enhancing knowledge and skills. Provide guidance and mentorship to junior team members, fostering a culture of learning and growth. Act as a subject matter expert in data architecture and cloud technologies, providing recommendations and insights to stakeholders and senior management Lead RFP responses by working with the Sales, Vertical and competency teams. Groom the team members in the pre-sales area. Data Architecture: In-depth knowledge and experience in designing and implementing scalable, secure, and high-performing data Lakehouse architectures in the cloud using Databricks. Cloud Technologies: Proficiency in cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), including their data services like AWS Glue, Azure Data Factory, or Google BigQuery. Data Modernization: Expertise in modernizing legacy data systems and transitioning them to cloud-based architectures using industry best practices. Data Integration: Strong understanding of data integration techniques, including ETL (Extract, Transform, Load) processes, data pipelines, and data streaming using Python , Kafka for streams , Pyspark , DBT , and ETL services provided by cloud providers and SQL/PLSQL Database Technologies: Familiarity with various database technologies, both relational and non-relational, such as SQL databases, NoSQL databases, data lakes, and data warehouses. Should have strong hands-on knowledge in Data Modelling techniques using ERWIN Data Governance: Knowledge of data governance principles and practices, including data quality, data lineage, data privacy, and compliance. Data Security: Understanding of data security principles, including encryption, access controls, and data masking techniques. Programming and Scripting: Proficiency in programming languages such as Python, Java, or Scala, and experience with scripting languages like SQL or Shell scripting. Communication and Collaboration: Excellent communication and collaboration skills to effectively work with stakeholders, business users, and technical teams. Pre-Sales : Ability to lead/Coordinate the medium to large scale RFPs and construct the end to end big-data, analytics technical solutions and articulate the same using Power point or word document. Participate the client presentations and present the solutions prepared. Databricks Certification: At least one Databricks certification (Associate or Professional) is mandatory for this role. Preferred Qualifications Hybrid cloud domain exposure including end to end data architecture experience. Qualifications Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science Certifications Certified Data Management Professional - RiversandRiversand, Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks AcademyDatabricks Academy, Databricks Certified Associate Developer for Apache Spark - Databricks AcademyDatabricks Academy, Microsoft Certified: Azure Data Engineer Associate - MicrosoftMicrosoft, Oracle Database 12c Certified Implementation Specialist - OracleOracle Required Skills Accounts Payable Process, Accounts Payable Process, Accounts Receivable (AR), Aerospace Manufacturing, Agile Methodology, Automotive Manufacturing, Banking Capital Markets, Change Management, Claims Management, Client Relations, Cloud Computing, Collaboration Tools, Computer Vision, Consumer Electronics, Consumer Packaged Goods (CPG), Databricks Platform, Data Engineering, Design Thinking, Electronic Hardware, Entertainment Journalism, Executive Presence, Healthcare Payors, Inclusion, Industrial Manufacturing Processes, Information Security {+ 26 more} Language English (Required) Language Proficiency - Proficient - C2 Additional Job Location - Job Type Regular Master Skill List - Data Engineering Remote Type - Hybrid Work Shift - Flex Time (India) Why join Genpact? • Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter • Make an impact – Help global enterprises solve business challenges that matter • Accelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead • Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day • 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.