| Job Description: |
Key Responsibilities
Architecture & Design
Design and maintain end-to-end data architecture leveraging Snowflake as the cloud data warehouse
Define data modeling standards (dimensional, hybrid, Data Vault, semantic layers)
Architect scalable, cost-efficient Snowflake environments (databases, schemas, warehouses)
Establish strategies for data ingestion, transformation, and consumption
Review and approve technical designs and data pipelines
Data Modelling
Design Pipelines using CoCo
Generate AI Insights using Cortex AI
dbt Development & Governance
Lead implementation using Datacoves
Design and enforce dbt project structure, naming conventions, and folder standards
Develop robust dbt models, macros, snapshots, and seeds
Implement and maintain dbt tests (freshness, generic, custom)
Enable auto-generated documentation and data lineage using dbt docs
Establish CI/CD practices for dbt deployments
Data Engineering & Optimization
Optimize Snowflake performance using:
Clustering & micro-partitioning
Query optimization
Warehouse sizing and scaling
Monitor and control Snowflake cost usage
Collaborate with ingestion tools
Implement ELT best practices
Security, Compliance & Reliability
Implement Snowflake security controls (RBAC, masking policies, row-level security)
Ensure adherence to data governance, compliance, and privacy standards
Design data quality frameworks and SLAs
Enable auditability and observability across the data platform
Leadership & Collaboration
Act as a technical advisor to data engineers and analytics teams
Mentor junior engineers and analysts
Translate business requirements into scalable technical solutions
Partner with stakeholders to define KPIs and semantic layers
Contribute to platform roadmaps and architecture decisions
Required Qualifications
8+ years of experience in data engineering or analytics engineering
8+ years of hands-on Snowflake architecture experience
6+ years of dbt (Core or Cloud) experience in production environments
Strong SQL expertise (advanced transformations and performance tuning)
Deep understanding of ELT architectures
Experience with cloud platforms (AWS, Azure, or GCP)
Proficiency with Git-based version control and CI/CD pipelines
Experience with data modeling methodologies
Essential Skills: GLI
Desirable Skills:
Keyword:
Skills: Digital : Python~Digital : Snowflake~Data Build Tool~AI & Gen AI - Products & Tools~Communication
Experience Required: 10 & Above
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