Delhi/Remote, Fluency in English
Build tech & data innovation efforts at Labhya for large-scale social impact. Translate Labhya's field and program needs into well-structured data systems, enabling insights at every level from classrooms to systems change. The role blends hands-on engineering with strategic thinking, ensuring that data infrastructure directly strengthens Labhya's impact.
Role Expectations
*All the below-mentioned tasks would be key to your role. The following requirements are not mentioned in order of priority.
- Data Architecture & Systems Design: Design, build, and maintain secure, scalable data pipelines across programs and government data sources, ensuring high data quality, reliability, and traceability from inputs to student and teacher outcomes.
- Establish standards for data validation, version control, privacy, and ethical use,, while enabling data workflows that are easy to replicate and scale across states.
- Enable Data-Driven Insights and Automation: Build and maintain secure, scalable data infrastructure, including data warehouses and pipelines using tools such as BigQuery or equivalent platforms, to ensure high-quality, reliable, and traceable data across programs and states.
- Develop automated data workflows, live dashboards, and KPIs to enable real-time performance tracking, decision-making, and impact measurement.
- Establish standards for data quality, privacy, and ethical use, while improving systems through automation and adoption of emerging data technologies and open-source tools.
- Cross-functional Collaboration: Partner with program, M&E, and operations teams to translate real-world challenges into measurable data constructs, ensuring data pipelines capture meaningful, actionable insights linked to learning and behavioral outcomes.
- Build organizational data capacity by training teams on data literacy, visualization, and tool usage, and strengthening the M&E teams ability to manage and process complex datasets end to end.
Educational Qualification
Bachelors/Masters degree in Computer Science/ Engineering Data Science, or a related field.
Experience
- 3-5 years of experience in data engineering, analytics engineering, or related fields, preferably within social impact, education, or public sector domains.
- Proven expertise & experience in SQL, Python or R, and data workflow management tools.
- Hands-on experience with cloud platforms (AWS, GCP, or Azure) and associated data services.
- Strong understanding & of data modeling, data warehouse design, and APIs for data integration.
- Hands-on experience with data visualization tools (e.g., Metabase, Power BI, Tableau, Superset) and dashboard deployment.
Characteristics
- Comfortable using Microsoft Office and Google Suite (Sheets, Docs, Slides, Forms).
- Fluent in English with strong writing and communication skills for sharing learnings with internal and external stakeholders.
- Strong interest in Social Emotional Learning (SEL), mental health, and psychosocial development.
- A self-starter who acts with urgency and can find effective solutions to complex challenges.
- Detail-oriented, curious, and excited by working with large datasets to derive meaningful insights.
- Open to experimentation, learning, and collaboration in a fast-moving, purpose-driven environment.
- Strong grounding in data ethics, bias mitigation, and responsible AI practices.
- Ability to translate complex data systems into actionable insights for non-technical audiences.
- Excited by the challenge of shaping technology that reaches millions of children and teachers.
- Deeply committed to integrity, transparency, and trust in both process and relationships.
If you're someone who's driven by purpose, excited to build, and energised by ambiguity in service of children's wellbeing, we would love to hear from you. We care more about your drive, alignment, and willingness to build in the grey than ticking every box.
