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
💡 Quick Summary
Seeking a career-building opportunity? The Data Architect position is now open for candidates interested in the Architect / Interior Designer Jobs sector. This role in Pune offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Architect / Interior Designer Jobs is a plus.
