Principal Consultant Data Architect, Data Engineering!

Job description

Ready to shape the future of work?

At Genpact, we don’t just adapt to change—we drive it.

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, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment.

Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading enterprisesglobally.Through ourdeep 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 teamsimplementdata, technology, and AItocreate tomorrow, today.Get to know us atgenpact.comand onLinkedIn,X,YouTube, andFacebook.

Inviting Applications for 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.

Qualifications we seek in you!

Minimum Qualifications

Data Architecture: In-depth knowledge and experience in designing and implementing scalable, secure, and high-performing data architectures in the cloud.

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.

Preferred Qualifications

Hybrid cloud domain exposure including end to end data architecture experience.

Why join Genpact?

Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. 

Let’s build tomorrow together.

Required Skill Profession

Computer Occupations