Anblicks Inc.
We are seeking a
Principal Solution Architect (Snowflake)
to lead the end-to-end architecture and design of a
Customer Data Platform (CDP)
for our end client. The ideal candidate will have deep expertise in
Snowflake
and a proven track record of building
enterprise-grade data platforms
that unify customer data across multiple systems for analytics, personalization, and AI-driven insights. This role requires both
technical leadership
and strong
stakeholder communication , as you’ll collaborate closely with business, engineering, and product teams to define
architecture standards ,
governance , and scalable data models. 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)
#J-18808-Ljbffr
Principal Solution Architect (Snowflake)
to lead the end-to-end architecture and design of a
Customer Data Platform (CDP)
for our end client. The ideal candidate will have deep expertise in
Snowflake
and a proven track record of building
enterprise-grade data platforms
that unify customer data across multiple systems for analytics, personalization, and AI-driven insights. This role requires both
technical leadership
and strong
stakeholder communication , as you’ll collaborate closely with business, engineering, and product teams to define
architecture standards ,
governance , and scalable data models. 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)
#J-18808-Ljbffr