Data Architect

Data Architect - AI Platform

Exp : 5+ years

Full Time

Location : Noida

Does working for 150+ million children of Bharat excite you?

Then this opportunity is for you!

About us :

It is an AI-native education infrastructure company transforming how governments, enterprises, and social institutions deliver learning and governance outcomes at population scale. Operating across B2G and B2B segments, the company partners with state governments, CSR funders, philanthropies, and social enterprises to build intelligent education ecosystems that are both impactful and commercially sustainable.

At its core, It runs two synergistic business lines :

- SwiftAI : the intelligence and automation layer that powers citizen engagement, governance efficiency, and real-time decision-making for governments and institutions.

- SwiftSchool : the learning infrastructure layer that integrates adaptive learning, digital classrooms, and analytics to drive measurable student and system outcomes.

This dual-engine model enables it to serve as the technology backbone for education reform - connecting classrooms, communities, and command centres through a unified AI-powered framework. Unlike traditional edtech companies that deliver content, it builds infrastructure - platforms that integrate deeply into public delivery systems while enabling private and philanthropic partners to scale their missions with measurable results.

With operations across 22+ Indian states and partnerships with multilaterals, CSR alliances, and government departments, it has established itself as a partner-friendly enterprise trusted for aligning policy priorities with social and financial returns. Supported by institutional investors and guided by a double bottom line philosophy, the company consistently delivers impact at scale and profitability with purpose.

As We enters its next phase of growth, it is shaping the future of AI-led public education infrastructure - where technology, partnerships, and governance intelligence converge to redefine how nations learn and thrive.

Role Overview :

As the Data Architect at organization, you will design and own the enterprise data platform that makes learner interaction data, content signals, and assessment outcomes clean, governed, and ready for analytics and AI model training. Data modelling, designing and maintaining big data systems, and handling ETL processes end-to-end are core and large parts of this role.

This is a foundational hire that determines how data flows, is stored, and is made available across the organisation. This role is part of a 0-to-1 vertical build. The person joining should be comfortable with ambiguity, high ownership, rapid iteration, hands-on execution, team building, and periods of high-intensity work during the early setup phase.

Key Responsibilities :

- Design and own the enterprise data architecture : lakehouse structure, data flow, storage strategy, and governance model.

- Build and maintain scalable data pipelines for batch and streaming workloads.

- Define data governance standards : data cataloguing, lineage tracking, quality monitoring, and access control frameworks.

- Design schemas and data models optimised for AI/ML consumption : feature stores, training data pipelines, label stores.

- Architect real-time data processing systems for live learner signals, telemetry, and product analytics.

- Evaluate and evolve the cloud data platform stack : Databricks, Snowflake, BigQuery, or equivalent.

- Collaborate with ML teams on feature engineering infrastructure and training data reproducibility.

- Establish data contracts and API-first data design patterns across consuming teams.

- Drive performance optimisation, cost engineering, and reliability across the data platform.

- Lead cross-functional data teams and manage stakeholder relationships across engineering, product, and business units.

- Translate business requirements from skilling, education, and government contexts into scalable, pragmatic data architecture decisions.

Must-Have Skills :

- Strong experience in designing and implementing data solutions and platforms.

- Ability to work across multiple technologies, databases, cloud platforms, and data tools.

- Strong understanding of data architecture, integration, data modelling, and data flow design; hands-on experience designing and maintaining big data systems.

- Experience leading cross-functional teams and driving technical solutions.

- Excellent problem-solving, stakeholder management, and communication skills; strong hands-on ETL experience including building, optimizing, and maintaining ETL pipelines at scale.

- Experience translating business requirements into scalable data solutions.

- Familiarity with skilling, education, or workforce development domains is preferred.

What We Offer and Why You Should Join us :

We create an environment where purpose meets growth. You will be part of a mission driven organization that is transforming how learning reaches children across India, especially at scale and where it matters most.

- Work with a diverse and passionate team spread across India, bringing together people from different backgrounds, perspectives, and expertise.

- Be part of an organization with a strong on ground presence across more than two thirds of India, giving you exposure to large scale, real world impact.

- Play a meaningful role in strengthening the education ecosystem and contributing directly to learning outcomes for millions of children.

- Gain experience working at the intersection of education, technology, and public systems, building skills that are highly relevant and future focused.

- Work in a culture that values ownership, learning, and collaboration, with space to take initiative and grow professionally.

- Enjoy stability and peace of mind with employee friendly benefits, including health insurance coverage and other supportive policies.

- If you are driven by purpose, enjoy solving complex problems, and want your work to create visible impact, organization offers a place to grow while making a difference.

Skills

Data Architect, Data Engineering, Data Pipeline, Data Governance, Data Modeling, Snowflake DB, Databricks, Big Data, BigQuery