Senior Principal Consultant, Data Architect

Hyderabad - India

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

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 Data Architect
We are seeking a highly experienced Data Architect with relevant years of experience in designing implementing and governing enterprise-scale data platforms. The ideal candidate will have deep expertise in modern cloud data stacks including dbt Snowflake and Fivetran along with strong knowledge of Master Data Management (MDM) and advanced data modeling techniques.
This role requires both strategic leadership and hands-on architectural capabilities to design scalable secure and high-performing data ecosystems that support analytics reporting AI/ML and enterprise decision-making.
Responsibilities
Enterprise Data Architecture
Define and own the enterprise data architecture strategy and roadmap.
Design scalable data warehouse lakehouse and ELT architectures.
Architect modern cloud-based data platforms using Snowflake and associated tools.
Establish architecture standards best practices and governance frameworks.
Data Engineering & ELT Strategy
Design ELT workflows leveraging Fivetran for ingestion and dbt for transformation.
Define transformation standards modular dbt architecture and testing frameworks.
Optimize Snowflake performance (clustering partitioning cost optimization).
Implement CI/CD and DevOps best practices for analytics engineering.
Data Modeling & MDM
Lead conceptual logical and physical data modeling initiatives.
Implement dimensional modeling (Star/Snowflake schema) Data Vault and hybrid models.
Design and implement Master Data Management (MDM) solutions.
Establish golden records data harmonization and entity resolution strategies.
Define metadata management and lineage frameworks.
Governance Security & Compliance
Define enterprise data governance policies.
Ensure data security privacy and regulatory compliance.
Establish data quality frameworks and monitoring mechanisms.
Implement role-based access control and secure data-sharing practices.
Leadership & Collaboration
Provide architectural guidance to Data Engineers and Analytics teams.
Collaborate with business stakeholders to translate requirements into scalable data solutions.
Evaluate and recommend emerging data technologies.
Mentor engineering teams and drive best practices adoption.
Qualifications we seek in you!
Minimum Qualifications
Relevant years of experience in Data Engineering / Data Architecture.
Strong hands-on expertise with:
odbt (advanced modeling macros testing documentation)
oSnowflake (architecture design optimization security)
oFivetran (data ingestion strategy and integration)
Deep experience in Master Data Management (MDM) frameworks and implementation.
Strong expertise in data modeling (Kimball Inmon Data Vault).
Advanced SQL and query optimization skills.
Experience with cloud platforms (AWS/Azure/GCP).
Experience with orchestration tools (Airflow/Prefect or similar).
Strong understanding of metadata management lineage and cataloging tools.
Knowledge of semi-structured data (JSON Parquet Avro).
Experience designing scalable and cost-efficient architectures.
Preferred Qualifications/ Skills
Experience implementing enterprise-wide data transformation programs.
Certifications in Snowflake or Cloud Platforms.
Exposure to real-time data processing (Kafka streaming).
Experience supporting AI/ML data pipelines.
Strong stakeholder and executive communication skills.
Strategic thinking with hands-on execution ability
Strong leadership and mentoring skills
Excellent problem-solving and analytical ability
Strong communication and stakeholder management

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.

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