Key
Responsibilities*
Strategic Stakeholder Engagement: Act as the primary technicalpoint of contact for business leaders to define data, analytics, andconversational analytics requirements.
End-to-End Solution Architecture: Design and documentcomprehensive data architectures, utilizing medallion architecture,ensure data quality and lineage, access controls, metadatamanagement.
Data Modelling and Design: Design data models (Star Schema,Data Vault, or flattened structures) optimized for both traditional BIand modern conversational analytics.
Snowflake Ecosystem Leadership: Serve as the Subject Matter Expert (SME) for Snowflake, overseeing environment setup,security, and complex data modelling.
IT Collaboration: Partner with IT teams to align on cloud infrastructure, security protocols and configurations, CI/CD setup.
Partner with source systems IT teams to enable data ingestion into Snowflake.
Performance Engineering: Lead performance optimization andfine-tuning initiatives, ensuring cost-efficient scaling and lightning- fast query response times.
Technical Mentorship: Guide a team of data engineers and BI berribot jd version 3developers through the ingestion, transformation, and delivery
phases. You are the "go-to" for solving complex technical blockers.
Solution Delivery and Adoption: Oversee the development ofData Products, end-to-end solution delivery and support business to drive adoption. Communicate technical milestones, risks, and project velocity to non-technical stakeholders with clarity and precision.
