What are the responsibilities and job description for the Snowflake Architect position at Anblicks?
Job Details
Key Responsibilities
- Lead the overall architecture, design, and implementation of the Customer Data Platform (CDP) on Snowflake.
- Define the end-to-end data flow from ingestion and transformation to data activation and consumption.
- Design data models, data marts, and analytical layers to support 360 customer views, segmentation, and personalization.
- Integrate data from diverse sources such as CRM, marketing, sales, web analytics, and product telemetry.
- Define data governance, security, and privacy frameworks ensuring compliance (GDPR, CCPA, etc.).
- Partner with cross-functional teams (data engineering, product, marketing, and analytics) to align architecture with business outcomes.
- Evaluate and recommend modern data tools for ETL/ELT, orchestration, and data activation layers.
- Guide and mentor data engineering teams in best practices for Snowflake performance tuning, cost optimization, and CI/CD automation.
- Communicate architecture decisions and technical concepts effectively to both technical and non-technical stakeholders.
Required Skills & Experience
- 12 years in data engineering and architecture, with 4 years focused on Snowflake.
- Proven experience designing and implementing Customer Data Platforms (CDPs) or similar large-scale analytical ecosystems.
- Strong expertise in:
- Snowflake architecture (Virtual Warehouses, Secure Data Sharing, Streams, Tasks, Time Travel, etc.)
- DBT or equivalent ELT frameworks
- Ingestion tools (SnapLogic, Matillion, Workato, or similar)
- Orchestration tools (Airflow, Dagster, or similar)
- Hands-on experience integrating marketing, CRM, and digital analytics data sources.
- Solid understanding of data governance, MDM, and metadata management concepts.
- Exposure to AI/ML or real-time data activation use cases within a CDP is a plus.
- Excellent communication and presentation skills able to engage business and technical stakeholders confidently.
- Experience working in client-facing consulting environments preferred.
Nice to Have
- SnowPro Advanced Architect certification
- Experience with data privacy frameworks and customer consent management
- Knowledge of Python, SQL optimization, or real-time streaming (Kafka, Kinesis)
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