Role Purpose
We are seeking a Senior Manager / Data Architect to lead the design, implementation, and optimization of enterprise data platforms using Snowflake and Cortex. This role combines advanced data engineering, AI/ML-enabled analytics, and Power BI dashboarding to deliver actionable insights for strategic decision-making.
The ideal candidate will drive data strategy, mentor teams, and ensure modern, scalable, and AI-powered analytics solutions, can bridge technology and business, drive data strategy, and mentor teams in modern data architecture and analytics.
Key Responsibilities
Lead enterprise data architecture design on Snowflake, including multi-cloud and hybrid deployments
Implement Cortex-powered AI/ML workflows for analytics and operational insights
Oversee end-to-end data engineering pipelines (ETL/ELT), ensuring scalability, reliability, and performance
Design, develop, and optimize Power BI dashboards and reporting solutions for business stakeholders
Collaborate with business units (retail, supply chain, marketing, finance) to translate requirements into AI-driven data solutions
Implement data models, semantic layers, and dimensional models to support reporting and analytics
Ensure data governance, quality, and compliance across all platforms
Mentor and lead a team of data engineers, BI developers, and analysts, driving adoption of best practices
Evaluate and recommend new technologies and tools, including AI/ML integrations, to improve analytics capabilities
Support real-time analytics and AI-driven business insights using Snowflake Cortex
Required Qualifications & Experience
10+ years in data engineering, data architecture, or BI, including 3-5 years in leadership roles
Hands-on experience with Snowflake Data Cloud and Cortex AI features
Strong expertise in ETL/ELT pipelines, cloud data architecture, and data modeling (dimensional/star/snowflake schemas)
Advanced SQL and Python skills for data processing and AI integration
Experience with Power BI development and administration at enterprise scale
Strong understanding of data governance, security, and compliance standards
Experience in retail or enterprise analytics preferred
Preferred Qualifications
a) Exposure to AI/ML workflows in analytics and reporting
b) Certifications in Snowflake, cloud platforms (AWS, Azure, GCP), or BI tools
c) Knowledge of modern data architecture patterns
d) Experience driving data-driven transformation initiatives
e) Strong consulting and stakeholder management experience
Core Competencies
Strategic thinking with the ability to align data architecture with business objectives
Leadership and mentorship skills for cross-functional teams
Strong communication and presentation abilities
Analytical and problem-solving mindset
Ability to manage multiple projects and deliver on deadlines
