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 strong 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 engineeringCloud-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 conceptsData modelingETL developmentDatabase managementManaging teams budgets, portfolios and driving value.Ability to define and implement prototypes and MVPs / RATsSkills Required
Gcp, Database Management, Data Architect, Data Modeling, Data Analytics, Sql, Python