> Markdown version of [/jobs/ext/4208983-adf-senior-technical-specialist](https://www.wearedevelopers.com/jobs/ext/4208983-adf-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). --- # ADF Senior Technical Specialist - **Company:** HCL America, Inc. - **Location:** United States - **Experience:** Expert - **Salary:** $114,000.0 - $198,000.0 - **Contract:** Permanent contract - **Skills:** Information Engineering, Data Security, Data Systems, Data Warehousing, Azure Data Factory, Snowflake, Data Pipelines, Databricks - **Published:** October 26, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=1074187bb910d4a9 ## About the Role 1. Proficiency in snowflake, azure data factory (adf), and data bricks. 2. Strong experience in designing and implementing data pipelines. 3. Knowledge of data warehousing concepts and best practices. 4. Ability to optimize and finetune data processes for efficiency. 5. Familiarity with data security protocols and compliance standards. 6. Excellent problem-solving and analytical skills. 7. Strong communication and teamwork abilities. Must Have Skill Azure Data Factory (ADF),Azure Databricks,Snowflake ## Description The Senior Technical Specialist will be responsible for overseeing and managing tasks related to Snowflake, Azure Data Factory (ADF), Data Bricks. The role involves working on complex data engineering projects, optimizing data pipelines, and ensuring data accuracy and reliability across platforms., 1. Design, develop, and maintain data pipelines using snowflake, azure data factory (adf), data bricks. 2. Collaborate with data engineers and architects to implement data solutions and ensure data quality. 3. Optimize and troubleshoot data processes to improve efficiency and performance. 4. Develop and implement best practices for data security and compliance. 5. Provide technical expertise and guidance to cross functional teams on data related projects. 6. Stay informed about the latest advancements in data technologies and techniques.