Data Architect

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 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