Data Engineer - Migrations

As a Data Engineer - Migrations at Datafold, your primary responsibilities will include meeting with customers to understand their migration needs, collaborating with the Engineering team to build AI-powered migration pipelines, and advising clients on the most effective migration strategies. You'll utilize Datafold's advanced migration toolkit to translate and validate complex data pipelines, ensuring smooth transitions for our customers.

To apply for the Data Engineer - Migrations role at Datafold, you should have at least 5 years of experience in data engineering, advanced proficiency in SQL, and a strong understanding of data engineering patterns like batch orchestration and streaming pipelines. Familiarity with both legacy and modern data stacks, alongside outstanding communication skills, will also be critical for success in this position.

Datafold is a fully remote company, allowing Data Engineers - Migrations the flexibility to work from anywhere in the US or EU. We foster a collaborative environment using various communication and project management tools to ensure our team stays connected, shares ideas, and works effectively, regardless of location.

In the Data Engineer - Migrations role at Datafold, you'll primarily use our Datafold Migration Agent (DMA), along with other AI-powered migration toolkits. Additionally, you may work with data orchestration tools such as Airflow, dbt, and Dagster, and have the opportunity to engage with various BI tools throughout your projects.

As a Data Engineer - Migrations, you'll engage in diverse projects centered around data platform migrations. You'll work with clients across various industries, tackling unique challenges related to their data architecture and migration needs, while leveraging Datafold’s comprehensive toolset to facilitate seamless transitions.

When answering this question, be sure to highlight specific projects where you led or contributed to data migration efforts. Discuss the tools you used, any challenges you faced, and how you overcame them to successfully complete the migrations.

Share your knowledge of key data engineering patterns such as batch processing, streaming, and orchestration. Provide examples of how you have applied these patterns in real-world projects to solve complex problems and optimize workflows.

Explain your approach to maintaining data quality through validation checks, testing strategies, and monitoring practices. Discuss any specific tools or methodologies you have utilized to ensure that migrated data meets quality standards.

Discuss any AI tools you have experience with, particularly in the context of data migration. Highlight your familiarity with frameworks that facilitate migration or data validation, and mention any specific projects where you employed these technologies.

Choose a project that showcases your problem-solving abilities and your technical expertise. Discuss the complexities involved, your strategies for overcoming them, and the outcomes, including how you ensured client satisfaction.

Share your commitment to continuous learning by mentioning resources you follow, such as blogs, webinars, or forums. Discuss any recent developments in data engineering trends that you find interesting or relevant to your work.

Emphasize your communication and interpersonal skills. Discuss how you build rapport with clients, understand their unique needs, and ensure their input is valued throughout the migration process.

Provide a detailed overview of your SQL proficiency, including any advanced techniques you've employed. Mention the types of databases you have worked with, and specific examples of how you have used SQL to support data migrations or analyses.

Discuss your approach to project management, including how you assess project requirements, set priorities, and manage timelines effectively. You may also want to mention any tools or frameworks you've used to keep projects on track.

Share your enthusiasm for Datafold's mission and innovation in data quality and observability. Explain how your skills and experiences align with the role and express your desire to contribute to the company's exciting growth journey.