Data Platform Engineer

Socket.dev; San Francisco (CA); On-site; USD 200,000 - 250,000; Full time

Job summary

Astronomer in San Francisco is seeking a Data Platform Engineer to guide customers in deploying powerful data workflows using Apache Airflow, accelerating business outcomes.

You will design PoCs, demo the platform, and contribute to the Airflow community while growing your expertise across data engineering and orchestration.

Qualifications

• Data engineering concepts including orchestration, ELT, Git, and RBAC, with Airflow experience in customer environments.
• 2+ years in Sales/Solutions/Consulting in the data space, ideally with Snowflake/Databricks/Fivetran/Tableau exposure.
• Strong verbal and written communication for diverse audiences.
• Curiosity and customer empathy to support clients through challenges.
• Willingness to learn and experiment with new data concepts and tools.

Responsibilities

• Solve Real-World Problems: Design and implement proof-of-concept solutions that help customers tackle data challenges, from concept to production.
• Be a Trusted Advisor: Conduct demos and provide technical guidance to engineering teams, showing them how our platform can transform workflows.
• Drive Community Impact: Contribute to the Apache Airflow community by creating technical content and best practices.
• Influence Product Direction: Gather field insights to shape the future of our platform.
• Develop and Grow: Become an expert in Airflow and data orchestration across departments.

Skills

Apache Airflow

Data engineering

Snowflake

Databricks

SQL

Customer-facing

Tools

CLI

Python scripting

Open-source tools

Job description

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io.

About this role:

As a Data Platform Engineer at Astronomer, you’ll be a key partner to our clients, guiding them in deploying powerful data workflows to accelerate their business outcomes. You'll have the chance to work with cutting-edge technology, help customers solve complex data challenges, and influence our product’s evolution through client feedback. This role is ideal for someone who wants to make a visible impact while growing into an expert in workflow orchestration and Apache Airflow.

What you get do:

• Solve Real-World Problems: Design and implement proof-of-concept solutions that help customers tackle real data challenges, from concept to production.

• Be a Trusted Advisor: Conduct demos and provide technical guidance to engineering teams, showing them how our platform can transform their workflows.

• Drive Community Impact: Contribute to the Apache Airflow community by creating technical content and best practices, positioning Astronomer as a thought leader in workflow orchestration.

• Influence Product Direction: Act as a liaison by gathering field insights and providing critical feedback to the Product team to shape the future of our platform.

• Develop and Grow: Become an expert in Airflow, workflow orchestration, and the data engineering landscape as you collaborate across departments and work on impactful projects.

What you bring to the role:

• Data Engineering Know-How: Familiarity with core data engineering concepts including orchestration, ELT, Git, and Role-Based Access Control (RBAC), with hands‑on experience or working knowledge of Apache Airflow in a customer environment.

• Experience and Expertise: 2+ years in a Sales Engineering, Solutions Engineering, Consulting or similar role within the data space, ideally with experience in modern data tools like Snowflake, Databricks, Fivetran, or Tableau.

• Effective Communication: Strong verbal and written communication skills to simplify complex technical concepts for diverse audiences.

• Curiosity and Customer Empathy: A genuine desire to understand customer needs, patience, and empathy to support them through challenges.

• Drive to Innovate: Eagerness to learn and experiment with new technical concepts, tools, and approaches to stay ahead in the data industry.

Bonus points if you have:

• Hands‑on Python scripting skills for data pipeline support.

• Experience with open-source data tools.

• Background in designing data workflows in a production environment.

• Customer-facing experience in a technical or consultative role.

• Experience working with Command Line Interfaces (CLI).

The estimated total compensation for this role ranges from $200,000 - $250,000, along with an equity component. This range is merely an estimate, and the width of the range reflects willingness to consider candidates with broad prior seniority. Actual compensation may deviate from this range based on skills, experience, and qualifications.

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At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.