Remote Solutions Engineer – AI Delivery

Description:

• Datafold is seeking an experienced Solutions Engineer to help build and scale the Datafold Migration Agent (DMA), an AI-powered product that automates data platform code migrations.
• The DMA reduces migration timelines by 5-10x by automating static analysis, translation, and refactoring of analytical codebases at a million-line-of-code scale.
• The Solutions Engineer will work directly with customers to understand their data infrastructure and desired outcomes, designing and implementing successful migration engagements.
• This role involves close collaboration with the product and engineering teams to ensure high-quality delivery.
• The Solutions Engineer will represent Datafold to prospective customers and partner with account executives to expand the business and establish technical and business partnerships.
• The position requires a collaborative approach to bridge business, strategic, and technical concerns, significantly impacting the efficiency of data migration efforts.

Requirements:

• Candidates must have a strong background in data engineering and technical project delivery.
• Knowledge of ETL/ELT patterns, data warehousing, and orchestration tools such as Airflow, Informatica, and dbt is required.
• Advanced knowledge of SQL is necessary for this role.
• A willingness to be hands-on with technology and expand technical skills is essential.
• Excellent written and verbal communication skills are required.
• The ability to handle and effectively resolve conflicts while managing customer accounts is necessary.
• Candidates should possess excellent listening skills, empathy, and the ability to connect with individuals from diverse backgrounds and cultures.

Benefits:

• Datafold offers an inclusive and diverse work environment where all employees are valued and unique perspectives are respected.
• The company is committed to providing equal employment opportunities to all individuals, ensuring no discrimination based on protected characteristics.
• Employees will have the opportunity to work remotely, collaborating with a global team across three continents.
• The role provides a chance to lead and influence high-quality data engineering practices within the broader data community.