Solutions Architect - Databricks
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Role details
Tech stack
Job description
Design scalable, secure, and high-performance data architectures. Translate business requirements into robust technical solutions. Guide teams on best practices for building with PySpark, AWS, and Databricks. Collaborate with cross-functional teams to align architecture with product goals. Own architectural decisions across cloud infrastructure and data pipelines.
Requirements
8+ years of experience in data engineering, architecture, or related roles. Deep expertise with AWS, Databricks, and PySpark. Strong Python and SQL skills. Excellent communication and stakeholder management skills. Fluent in English (spoken and written).
Benefits & conditions
Location This is a fully remote position; however, candidates must be based in regions that align with the 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. 401(k) contribution. 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, 40 hours per week, Monday through Friday. Job Function Consulting, Engineering, and Strategy/Planning #J-18808-Ljbffr
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