Snowflake Architect

Machine Learning Technologies, LLC; Santa Clara (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

Machine Learning Technologies, LLC in Santa Clara, CA is seeking a senior Data Engineer to design enterprise data warehouse architectures on Snowflake, define standards, and optimize data platforms.

You will lead ETL/ELT pipelines, implement RBAC, data governance, and collaborate with stakeholders, engineers, and analysts, mentoring teams on Snowflake best practices.

Qualifications

• 8–12+ years in Data Engineering, Data Warehousing, or Architecture.
• 5+ years hands-on Snowflake architecture and implementation.
• Strong expertise in Snowflake, SQL and data modeling.

Responsibilities

• Design enterprise data warehouse architectures using Snowflake.
• Define standards and best practices for cloud data platforms.
• Develop and optimize SQL queries, procedures, views, and Snowflake objects.
• Build scalable ETL/ELT pipelines for ingestion and transformation.
• Lead architecture reviews and PoC initiatives with stakeholders.
• Mentor teams on Snowflake best practices and data governance.

Skills

Advanced SQL

SQL performance tuning

Python

Data modeling

Cloud data architecture

Tools

Snowflake

dbt

Informatica

Fivetran

Matillion

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H4-EAD, Other

Job Description:

Key Responsibilities:

• Design and implement enterprise-level data warehouse architectures using Snowflake.
• Define data architecture strategies, standards, and best practices for cloud-based data platforms.
• Develop and optimize complex SQL queries, stored procedures, views, and Snowflake objects.
• Design and implement scalable ETL/ELT pipelines for data ingestion and transformation.
• Work with Snowflake features such as Virtual Warehouses, Snowpipe, Streams, Tasks, Time Travel, Zero-Copy Cloning, and Dynamic Tables.
• Develop data integration solutions using tools such as Informatica, Matillion, Fivetran, dbt, or Talend.
• Implement data modeling techniques, including Star Schema, Snowflake Schema, and dimensional modeling.
• Optimize query performance, warehouse utilization, and overall Snowflake cost management.
• Implement data security, role-based access control (RBAC), masking policies, and row-level security.
• Establish data governance, data quality, metadata management, and data lineage standards.
• Integrate Snowflake with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Lead technical discussions, architecture reviews, and proof-of-concept initiatives.
• Collaborate with business stakeholders, data engineers, data analysts, and application teams.
• Mentor development teams and provide technical guidance on Snowflake best practices.

Required Technical Skills:

• 8–12+ years of experience in Data Engineering, Data Warehousing, or Data Architecture.
• 5+ years of hands-on experience with Snowflake architecture and implementation.
• Strong expertise in Snowflake cloud data warehouse architecture.
• Advanced SQL programming and performance tuning.
• Strong experience with ETL/ELT development and data integration.
• Expertise in data modeling, dimensional modeling, and database design.
• Hands-on experience with Python and Snowflake scripting.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of Snowflake security, governance, and access management.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.