databricks
Specialist Solutions Architect - Data Engineering & Warehousing
At a Glance
- Location
- United States
- Experience
- 5+ years
- Posted
- 2026-06-02T00:37:30-04:00
Key Requirements
Required Skills
Domain Knowledge
- Cloud
- Engineering
Benefits & Perks
e strive to provide comprehensive benefits and perks that meet the needs of all of
Requirements
5+ years of experience in a technical role with deep expertise across data engineering and data warehousing:
Software / Data Engineering: Hands-on experience with data ingestion, streaming technologies (e.g., Spark Streaming, Kafka), performance tuning, troubleshooting, and debugging Spark or other big data solutions.
Data Applications Engineering: Experience building data-driven use cases, such as risk modeling, fraud detection, and customer lifetime value (LTV).
Data Observability: Experience with SIEM tools (e.g., Splunk, Elastic, Sentinel), telemetry/high-velocity log ingestion, and anomaly detection.
Proven track record of maintaining, scaling, and extending production data systems to evolve with complex business needs.
Deep expertise across multiple core data engineering domains, including:
Compensation & Benefits
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page
here
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$180,000
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About the Company
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on
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