Technical Lead

Role : Technical Lead - Database Platform

Location:

About the Company & Role :

We are one of India's premier integrated political consulting firms specializing in building data-driven 360-degree election campaigns. We help our clients with strategic advice and implementation which brings together data-backed insights and in-depth ground intelligence into a holistic electoral campaign. We are passionate about our democracy and the politics that shape the world around us. We draw on some of the sharpest minds from distinguished institutions and diverse professional backgrounds to help us achieve our goal. The team brings in 7 years of experience in building electoral strategies that spark conversations, effect change, and help shape electoral and legislative ecosystems in our country.

As a part of the Analytics & Engineering Team , you will have a great chance to build tools and pipelines from early days by reinventing the concept of using data for the greater good.

Role Summary :

Varahe Analytics is launching a multi-state program to build and maintain a national-scale voter database enriched with economic, demographic, administrative and geospatial layers. The Technical Lead will architect and drive the entire buildout from designing data schemas and ingestion pipelines to ensuring high performance, scalability, and governance.

hands-on leadership role

Key Responsibilities :

1. Design the

   core architecture

   of the Database Platform, including storage layers, data models, ingestion pipelines, and APIs.
2. Define data standards, schemas, and metadata structures for population, electoral, and survey data.
3. Design for scalability, data lineage, and performance optimization.
4. Mentor engineers and data developers; enforce engineering best practices.
5. Lead the creation of

   ETL/ELT pipelines

   to ingest and transform data from multiple internal and external sources.
6. Ensure robust data security, backups, and monitoring.
7. Define protocols for

   data quality, validation, lineage tracking, and auditing

   .

Required Skills & Experience

1. B.Tech / M.Tech in Computer Science, Data Engineering, or related fields.
2. Prior experience in building data platforms or data lakehouses from scratch.
3. Exposure to geo-spatial data, survey data, or political/public datasets (preferred but not mandatory).
4. Strong experience in database architecture and data modelling (PostgreSQL, MySQL, or similar).
5. Proven experience in ETL/ELT frameworks, ideally with dbt, Airbyte, or Apache Airflow. Proficient in Python/SQL for data transformation and automation.
6. Hands-on with cloud infrastructure (AWS/GCP/Azure), Docker, and CI/CD pipelines.
7. Familiarity with data warehouse/lake design, API integrations, and data governance tools (Great Expectations, Prefect, etc.).