Responsibilities include:

- Lead data platforms, engineering, product ownership, and architecture teams to drive business growth through next-generation capabilities.
- Foster innovation and thought leadership by adapting to industry trends, leveraging data for high-value product creation.
- Collaborate with business leaders, effectively communicating the value of data-driven solutions across diverse domains.
- Develop advanced data analytics, utilizing cutting-edge technology to support various business functions.
- Cultivate solid partnerships with internal and external stakeholders, alongside fellow analytics professionals.
- Design, establish,



and maintain cost-effective data platforms and solutions while prioritizing return on investment and talent growth for high performance.

Primary Skills :

- Azure , AWS, GCP cloud data engineering
- Cloud-based databases (Synapse, Databricks, ,Atacama (MDM), Snowflake, Redshift)
- Data integration techniques (API, stream, file) using DBT, SQL/PySpark, Python.
- Implementing data products through data mesh / fabric concepts
- Data modeling
- ETL development
- Database management
- Managing teams budgets, portfolios and driving value.
- Ability to define and implement prototypes and MVPs / RATs

📌 Data Architect (Thiruvananthapuram)
🏢 Reflections Info Systems
📍 Thiruvananthapuram