Senior Data Platform Engineer — Satellite Analytics

Umbra; Arlington (VA); On-site; USD 185,000 - 220,000; Full time

Benefits offered by this job

Flexible Time Off

Medical, Dental, Vision, Life, LTD,STD

Stock Options

401k with company contribution

Free parking

Free lunch in office daily

Job summary

Umbra seeks a Senior/Staff Data Platform Engineer to lead data infrastructure for autonomous satellite operations and analytics. You will design scalable data pipelines, optimize lakehouse architectures, and collaborate with product and engineering teams to ensure data quality and reliable decision-making.

The role emphasizes cloud-native data platforms, observability, and governance, with on-site work options in VA or CA. Strong SQL, Python, and Databricks experience are required.

Qualifications

• Bachelor of Science in Computer Science, Data Science, or equivalent experience.
• 15+ years of professional experience as a Data Engineer or similar roles.
• Strong proficiency in SQL and experience with data warehousing, lakehouse architecture, and analytics engineering concepts.
• Proficiency in data pipeline development using Python and SQL, utilizing version control and CI/CD best practices.
• Proficiency with analytics and visualization tools such as Omni Analytics, Tableau, Power BI, or similar.
• Experience with Databricks, Apache Hadoop Ecosystem (HDFS, Spark, HBase, etc), or similar large-scale data processing and lakehouse platforms.
• Experience with dbt or similar data transformation and modeling frameworks.
• Experience with cloud platforms such as AWS, GCP, or Azure for building reliable data storage and processing.
• Familiarity with monitoring and observability solutions such as Datadog, Grafana, Prometheus, New Relic, Splunk, or similar.
• Effective communication skills, ability to work collaboratively in a team environment, and willingness to learn new skills and technology.

Responsibilities

• Design, build, and maintain scalable data pipelines and infrastructure to process, model, and analyze large volumes of satellite, operations, and business data.
• Develop and optimize data models, data warehouses, lakehouse patterns, and dbt transformations to support internal analytics, machine learning applications, and operational decision-making.
• Build and operate analytics and data platform capabilities using tools such as Databricks, dbt, Omni Analytics, and related cloud services.
• Collaborate with cross-functional teams to understand data requirements and ensure data quality, reliability, performance, and usability.
• Implement best practices for data governance, reliability, security, compliance, lineage, cost management, and observability.

Skills

SQL

Python

Data warehousing

CI/CD

Databricks

Cloud platforms

Datadog/Grafana

Communication

Education

Bachelor's degree in CS/Data Science

Tools

Omni Analytics

Tableau/Power BI

Apache Hadoop

dbt

AWS/GCP/Azure

Job description

Umbra seeks a Senior/Staff Data Platform Engineer to lead data infrastructure for autonomous satellite operations and analytics. You will design scalable data pipelines, optimize lakehouse architectures, and collaborate with product and engineering teams to ensure data quality and reliable decision-making.

The role emphasizes cloud-native data platforms, observability, and governance, with on-site work options in VA or CA. Strong SQL, Python, and Databricks experience are required.