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