Key technical skills required : Solid understanding of complex business problems to ensure projects are leveraging the
appropriate technology and the technical design.
Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs,
database migrations, and technology management.
Experience in moving data from on-premises data platforms to cloud and designing cloud native
data warehouse platform.
Experience working with transactional, temporal, time series, and structured and unstructured
data.
Big Data and Data Warehouses including Azure Data Lake, Azure Data Explorer, Azure Data factory,
Pyspark, SQL and some experience in Fabric.
Advanced Analytics including Azure Synapse Analytics, Azure Data Bricks, data visualization tools
(i.e. PowerBI, Tableau)
Data Science and Machine Learning (i.e. Azure ML,



ML Server, TensorFlow, or other similar
frameworks)
Experience with cloud infrastructure, storage optimization and query optimizations.
Experience in delivering/managing lifecycle of software/services using DevOps/MLOps.
Proficiency in data modeling and design, including SQL development and database administration.
Experience with cloud platforms, such as Azure, to manage and integrate data systems.
Knowledge of big data developments and technology architectures.
Familiarity with data security measures and compliance regulations.
Ability to design and model database, data warehouse, and data flow infrastructures.

📌 Data Architect_Lead_Pivot (Bengaluru)
🏢 TRIGENT SOFTWARE PRIVATE
📍 Bengaluru