USA_Technical Lead

Pay Rate Range: $ 57.14 - 58.82/hr.
GBaMS ReqID:

Snowflake Tech Lead

Job Description:

Architecture & Design

• Design and implement end-to-end Snowflake-based data architectures for analytics, reporting, and advanced data use cases

• Define data modeling strategies (dimensional, data vault, and analytical models) optimized for Snowflake

• Establish standards for data ingestion, transformation, storage, and consumption

Snowflake Platform Management

• Architect and manage Snowflake features including Warehouses, Databases, Schemas, Cloning, Time Travel, Secure Data Sharing, Data Clean Rooms and Resource Monitoring

• Optimize performance and cost using warehouse sizing, clustering, caching, and query optimization

• Implement security best practices including RBAC, masking policies, row access policies, and data governance

Data Transformation & ETL/ELT

• Lead ELT pipeline development using DBT (models, macros, tests, documentation, and deployments)

• Design and implement ETL/ELT pipelines using cloud-native Snowpark and third-party tools. Implement Real time streaming and Batch data Processing.

• Ensure data quality, lineage, and observability across pipelines

Cloud & Big Data Integration

• Architect solutions leveraging cloud data services (AWS, Azure, or GCP) such as object storage, messaging, and orchestration services

• Integrate Apache Spark (Databricks or equivalent) for large-scale data processing and advanced transformations

• Support hybrid and multi-cloud data architectures

Development & Automation

• Develop data processing and automation solutions using Python

• Build reusable frameworks for ingestion, transformation, validation, and monitoring

• Implement CI/CD pipelines for data workloads and DBT, Snowpark deployments
Leadership & Collaboration

• Partner with business stakeholders, analytics, and data science teams to translate requirements into scalable solutions

• Mentor data engineers and analysts on Snowflake, DBT, Snowpark and data engineering best practices

• Provide architectural guidance, documentation, and design reviews

• Strong hands-on experience with Snowflake architecture and performance tuning

• Expertise in DBT (models, testing, macros, documentation, environments)

• Solid experience with ETL/ELT frameworks and data integration patterns

• Proficiency in Python for data engineering and automation

• Experience with Snowpark Implementation

• Strong knowledge of cloud data services (AWS, Azure, or GCP)

• Advanced SQL and data modeling skills"

Skills: Digital :
Amazon Web Service(AWS) Cloud Computing~Digital :
Snowflake~Digital :
Py Spark

Experience Required: 8-10 years

Skills:

Category Name Required Importance Experience Skill Category Test1 _MN Digital :
Amazon Web Service(AWS) Cloud Computing Yes 1 7+ years