Cloud Data and Solution Engineer

Archrock • Houston, TX

105d

About The Position

The position involves building and managing scalable data and AI solutions using the Microsoft Platform, including Azure Synapse, MS Fabric, and Lake type storage. The role requires skills in developing and managing machine learning models and handling various data science tasks. The candidate should have knowledge of analytical platforms, security, data governance, AI/ML operations, and DevOps.

Requirements

• Experience in building and managing scalable data and AI solutions with Microsoft Platform.
• Skilled in developing and managing machine learning models.
• Knowledgeable about analytical platform, security, data governance, AI/ML operations, and DevOps.
• Strong working knowledge of MS Analytics Platforms such as MS Fabric, Synapse, and Data Lakes.
• Experience with Gen AI Models.
• Experience in AI and ML Ops.
• Experience in the Azure cloud ecosystem.
• Experience in managing databases and objects.
• Experience with Azure Data Lake Storage and Azure Synapse.
• Proficient in programming languages such as SQL, Python, and Pyspark.

Nice To Haves

• Experience in negotiating and influencing changes outside of the team to improve Data strategy.
• Experience in participating or running critical engagements, delivering quality services.
• Ability to drive high-quality work products within expected timeframes and on budget.
• Experience collaborating with advanced analytics teams.

Responsibilities

• Work as an Azure cloud data and solution engineer, an individual contributor, and a team player.
• Analyze, design, and determine coding, programming, and integration activities required based on specific objectives.
• Manage data pipeline job failures.
• Optimize existing ML jobs for better performance.
• Develop processes, techniques, and tools to analyze and monitor platform performance.
• Demonstrate strong working knowledge of MS Analytics Platforms such as MS Fabric, Synapse, and Data Lakes.
• Develop and manage AI/ML Models.
• Work with Gen AI Models.
• Engage in AI and ML Ops.
• Utilize the Azure cloud ecosystem.
• Manage databases and objects.
• Work with Azure Data Lake Storage and Azure Synapse.
• Utilize programming languages such as SQL, Python, and Pyspark.
• Identify, troubleshoot, and resolve issues related to data and AI jobs.
• Support ingestion pipelines from a data engineering standpoint.
• Participate in the design of data models for reports.
• Integrate Azure Functions and APIs.

What This Job Offers

• Industry: Rental and Leasing Services
• Number of Employees: 1,001-5,000 employees