Über
What You’ll Do
Design end‑to‑end data architectures on AWS, with Databricks at the core
Own architectural decisions across data pipelines, cloud infrastructure, and platform integrations
Translate complex business and product requirements into robust, scalable technical solutions
Define standards, patterns, and best practices for building with PySpark, Python, SQL, and Databricks
Act as a technical leader and advisor for engineering teams
Collaborate closely with product, data, and engineering stakeholders to ensure architectural alignment and long‑term scalability
Review designs and implementations to ensure performance, security, reliability, and cost efficiency
What We’re Looking For
8+ years of experience in data engineering, solution architecture, or related roles
Proven experience designing enterprise‑grade data platforms and architectures
Deep, hands‑on expertise with Databricks (production and architectural experience required), AWS, PySpark, Python, and SQL
Strong understanding of distributed data systems, cloud‑native architecture principles, and data modeling and integration patterns
Excellent communication skills and ability to work directly with technical and non‑technical stakeholders
Fluent English, both written and spoken
Location Fully remote. Candidates must be based in Pacific, Central, or Eastern U.S. time zones to ensure effective collaboration with client and team schedules.
Benefits
Flexible working hours in a remote environment
Health insurance (medical and dental) for W2 Employees
401K contribution
A professional development fund to enhance your skills and knowledge
15 days of paid time off annually
Access to soft‑skill development courses to further your career
Seniority Level Director
Employment Type Full‑time
Job Function Consulting, Engineering, and Strategy/Planning
Base Pay Range $75,000 – $140,000 annually
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Sprachkenntnisse
- English
Hinweis für Nutzer
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