About the role:

We are looking for a talented Senior Data Engineer, Analytics to elevate our robust analytics technology stack by designing and implementing top-tier data infrastructure and management best practices across ETL, automation, reporting, and governance. This role is pivotal in building a scalable, reliable data architecture that empowers the Analytics and Strategy team to drive decision-making across the entire organization. You will collaborate closely with the software, hardware, and GTM teams to provide strategic input on data storage, formats, and access controls to meet both internal and external requirements. Your work will play a key role in shaping the future of our technology stack, enhancing team productivity, and driving company-wide efficiency and profitability.

How you’ll make an impact:

• Assist in managing the performance of our tech stack including Fivetran, Databricks, AWS, Tableau, and Ascend (Airflow-like environment) 
• Refine and expand on the automated pipelines ensuring completeness of data and deviances (e.g. changing schemas) are properly ingested and propagated      
• Partner with Analytics teammates to translate their respective stakeholders’ business needs into data products 
• Collaborate with Engineering to appropriately provision internal and external users with governance (e.g. GDPR) in mind 
• Help democratize data by contributing to data dictionary and lineage initiatives
• Assist with ad-hoc projects and provide support as needed
• Develop data pipeline status reporting such as data anomaly detection, cluster health, error handling, and automated alerting 
• Assist with ad-hoc projects and provide support as needed

What makes you a good fit:

• Demonstrable experience in developing, deploying, and maintaining data pipelines from ETL to automation and anomaly alerts preferably with Fivetran, Airflow, and Databricks 
• Advanced understanding of AWS (e.g. Terraform, S3, IAM)  and Databricks offerings including cluster management with infrastructure-as-code as a bonus 
• Proven ability to write, test, and debug code primarily in SQL and Python 
• Bachelor’s degree or equivalent practical experience
• Strong communication skills, with the ability to break down complex concepts to non-technical stakeholders

Compensation Range: The annual base salary range for this position is 140,000-175,000*. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. In addition to base salary, Skydio full-time employees are eligible to enroll in our benefit plans and take advantage of a variety of incentives and stipends.

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