Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Data & Analytics, Enterprise SoftwareIndustries

Position Overview

  • Location Type: Remote
  • Employment Type: Full-Time
  • Salary: (Salary information not provided in the text)

Astro is an industry-leading, orchestration-first DataOps platform for data teams. Powered by Airflow, Astro accelerates building reliable data products that unlock insights, unleash AI value, and drive data-driven applications. Astronomer is a globally-distributed and rapidly growing venture-backed team. Their mission is to empower data teams to bring mission-critical analytics, AI, and software to life.

Requirements

  • Experience: 2+ years in a Sales Engineering, Solutions Engineering, Consulting, or similar role within the data space.
  • Data Engineering Knowledge: Familiarity with core data engineering concepts such as orchestration, ELT, Git, and Role-Based Access Control (RBAC).
  • Communication Skills: Strong verbal and written communication skills to simplify complex technical concepts.
  • Customer Empathy: A genuine desire to understand customer needs and patience to support them through challenges.

Responsibilities

  • Solve Real-World Problems: Design and implement proof-of-concept solutions that help customers tackle real data challenges.
  • Be a Trusted Advisor: Conduct demos and provide technical guidance to engineering teams.
  • Drive Community Impact: Contribute to the Apache Airflow community by creating technical content and best practices.
  • Influence Product Direction: Act as a liaison by gathering field insights and providing feedback to the Product team.
  • Develop and Grow: Become an expert in Airflow, workflow orchestration, and the data engineering landscape.

Application Instructions

  • (Application instructions not provided in the text)

Company Information

  • Company: Astronomer
  • Description: A globally-distributed and rapidly growing venture-backed team focused on empowering data teams with their DataOps platform, Astro. They value diverse experiences and encourage unconventional career paths.

Skills

Airflow
Orchestration
ELT
Git
RBAC
Data Engineering
Communication
Technical Communication
Customer Empathy

Astronomer

Data orchestration platform for pipeline management

About Astronomer

Astronomer.io provides a data orchestration platform that utilizes Apache Airflow to simplify the deployment of data pipelines. Its main product, Astro, helps businesses manage and monitor their data flows, allowing them to focus on delivering essential data pipelines. The platform supports data unification across various clouds and offers over 1500 integrations, making it suitable for data and machine learning teams in industries like finance and e-commerce. Astronomer.io distinguishes itself from competitors by offering enterprise-grade security, zero-downtime upgrades for Airflow, and tools for monitoring pipeline health, which enhance compute efficiency and reduce delays in task scheduling. The company's goal is to empower organizations to optimize their data strategies and achieve a significant return on investment by ensuring their applications operate with maximum reliability.

Cincinnati, OhioHeadquarters
2018Year Founded
$272.1MTotal Funding
SERIES_CCompany Stage
Data & Analytics, Enterprise Software, CybersecurityIndustries
201-500Employees

Benefits

Remote Work Options
Company Equity

Risks

Increased competition from platforms like Prefect and Dagster poses a market challenge.
Over-reliance on Apache Airflow could be risky if community focus shifts.
Rapid AI advancements may outpace Astronomer's feature integration, risking client dissatisfaction.

Differentiation

Astronomer offers Astro, a modern data orchestration platform powered by Apache Airflow.
Astro enables data teams to build, run, and observe data pipelines-as-code efficiently.
Astronomer provides enterprise-grade security and over 1500 integrations for data unification.

Upsides

Astronomer's revenue grew over 200% in H1 2023, indicating strong market demand.
Collaboration with Microsoft Azure enhances Astronomer's cloud-native data orchestration capabilities.
Integration with Anyscale boosts Astronomer's offering for scalable machine learning workflows.

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