Verified Job
Jobs
Data Architect
Jobs
#604916
Full Time
Job Description
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
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
