We are looking for a Software Engineer with Python expertise to guide customers with technical onboarding and product adoption. As part of the role, you may help build new product features, develop custom scripts, or provide product training to address customer needs. This is a hybrid role where you are part of Customer Success but will work closely with the Engineering, Product, and Ingestion teams.

We are growing fast. Our customers range from startups to Fortune 500 companies across industries and continents. You will be assigned a set of accounts aligned with your timezone. You will work closely with data engineers, scientists, and analysts in customer organizations to help them adopt our products and best practices to achieve their goals. 

Our main products are data catalog and observability. Acryl Data provides clarity to data by enabling delightful search and discovery, data observability, and federated governance across organizations' entire data ecosystem. Started as a technology at LinkedIn, Acryl has grown to become the largest open-source metadata platform. Our community has 10,000 members across thousands of organizations. Acryl Data was founded by experts who previously created LinkedIn DataHub and Airbnb Dataportal and is backed by top venture capital firms.

As a Software Engineer, you will have the opportunity to shape the Customer Success function and work with a collaborative and tight-knit team. Acryl Data is committed to building a diverse and inclusive environment and offers competitive salaries, health benefits, and generous stock options.

Key Responsibilities

• Build features to address customer needs. Depending on your skill sets and interests, you can be assigned frontend, backend, or ingestion projects. There will be opportunities to learn new technologies along the way.
• Serve as a technical advisor to customers, providing guidance on data ingestion, observability, governance, and best practices
• Build custom integrations and troubleshoot technical issues as part of the customer onboarding process
• Collaborate with the product and engineering teams to identify areas for improvement and new feature development
• Contribute to the development of technical documentation, implementation guides, and knowledge sharing within the team and the community
• Maintain regular communication with key customers to understand their business needs and recommend solutions to help them grow

Qualifications

• 4+ years of experience in software engineering or data engineering
• Expertise in Python and experience working with the modern data stack, data pipelines, and ELT processes in an enterprise environment
• Expertise in SQL, modern data warehouses, transformation tools, and BI tools such as Snowflake, BigQuery, dbt, Airflow, Tableau, Looker, etc
• Excellent communication and interpersonal skills
• Passion for helping customers
• Comfortable working in a fast-paced startup environment
• Bachelor's degree in Computer Science or a related field

This position is open to candidates in all time zones of the United States and Europe and can be done remotely. We provide sponsorship for H1B visas.