Job description:

Architect and implement data solutions across Marketing, Sales, and Customer
Service, using technologies such as DBT, Snowflake, and Azure.
Design and optimize data pipelines that integrate various data sources (1st party, 3rd
party, operational) to support business intelligence and advanced analytics.
Develop data models and data flows that enable personalized customer experiences and
support omnichannel marketing and customer engagement.
Lead efforts to ensure data governance, data quality, and data security, adhering to
compliance with regulations such as GDPR and CCPA.
Implement and maintain data warehousing solutions in Snowflake to handle large-scale
data processing and analytics needs.
Optimize workflows using DBT to streamline data transformation and modeling
processes.
Leverage Azure for cloud infrastructure, data storage, and real-time data analytics, while
ensuring the architecture supports scalability and performance.
Collaborate with cross-functional teams, including data engineers, analysts, and business
stakeholders, to ensure data architectures meet business needs.
Support both real-time and batch data integration, ensuring data is accessible for
actionable insights and decision-making.
Continuously assess and integrate new data technologies and methodologies to enhance
the organization s data capabilities.

• To architect| design and develop (through Team) solution for product/project & sustenance delivery
• To support as an Subject Matter Expert
• To ensure knowledge up-gradation and work with new technologies so that the solution is current and meets quality standards and the client requirements
• Ensuring a sufficient pool of skilled professionals in the designated technology, through activities such as conducting interviews, providing training sessions and offering mentorship.
• To gather specifications and deliver solutions to the client organization based on understanding of a domain or technology.
• To support competency development with envisioning and articulating propositions building collaterals/ whitepaper creation, market trend analysis etc.
• To recommend client value creation initiatives and implement industry best practices (on specific technology/product)