Senior Principal Consultant Data Architect

With a startup spirit and 115,000+ curious and courageous minds, we have the expertise to go deep with the world&rsquos biggest brands&mdashand we have fun doing it. We dream in digital, dare in reality, and reinvent the ways companies work to make an impact far bigger than just our bottom line. We&rsquore harnessing the power of technology and humanity to create meaningful transformation that moves us forward in our pursuit of a world that works better for people. Now, we&rsquore calling upon the thinkers and doers, those with a natural curiosity and a hunger to keep learning, keep growing., People who thrive on fearlessly experimenting, seizing opportunities, and pushing boundaries to turn our vision into reality. And as you help us create a better world, we will help you build your own intellectual firepower.

Welcome to the relentless pursuit of better.

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 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.

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. For more information, visit . Follow us on , , , and .

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 %27starter kit,%27 paying to apply, or purchasing equipment or training.

Key Skills