> Markdown version of [/jobs/ext/3368361-snowflake-senior-technical-specialist](https://www.wearedevelopers.com/jobs/ext/3368361-snowflake-senior-technical-specialist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Snowflake Senior Technical Specialist

- **Company:** HCL America Inc.
- **Location:** United States
- **Experience:** Expert
- **Salary:** $180,000.0
- **Contract:** Permanent contract
- **Skills:** Cloud Computing, Data Governance, Data Infrastructure, Data Integrity, Data Transformation, Data Security, Data Visualization, Data Warehousing, Database Queries, Python (Programming Language), SQL Databases, Data Processing, Freeform SQL, Snowflake, Data Build Tool (dbt), Data Analytics, Data Pipelines
- **Published:** September 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ab03b54b0cdc54c2

## About the Role

1. Proficiency in snowflake data platform, including data warehouse design, implementation, and optimization.
 2. Experience with dbt (data build tool) for managing data transformations and modeling within a cloud data warehouse environment.
 3. Strong sql skills with the ability to write and optimize complex queries for data extraction and analysis.
 4. Proficient in python programming language for data manipulation, automation, and visualization.
 5. Knowledge of data governance best practices and experience in implementing data security measures within a cloud environment.
 6. Excellent analytical and problem-solving skills with a keen attention to detail.
Other Requirements
1.SnowPro Core Certification, DBT Fundamentals Certification (preferred).

## Description

The Senior Technical Specialist will be responsible for managing and optimizing Snowflake, DBT, SQL, and Python processes within the organization. They will play a key role in implementing and maintaining efficient data pipelines, ensuring data integrity, and driving data driven decision-making processes., 1. Develop and maintain snowflake data cloud environment, including optimizing database performance and troubleshooting any issues that arise.

 2. Design and implement etl processes using dbt to transform and load data into snowflake for analytics and reporting purposes.
 3. Write complex sql queries to extract and manipulate data as required by various business units.
 4. Utilize python programming language to automate data processes, build data pipelines, and create data visualizations.
 5. Collaborate with cross functional teams to understand data requirements and implement solutions that meet business needs.
 6. Ensure data security and governance practices are followed in compliance with industry standards and regulations.