Databricks
SpecialistSolutionsArchitect-DataEngineering&Observability
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optimal for Senior candidates.
“Specialist Solutions Architect - Data Engineering & Observability at Databricks. Skills: Data Engineering, Data Observability, Lakehouse architecture, Big data. Guide customers cloud data engineering transformations. Support Solutions Architects”
What You'll Achieve.
Successful implementations; Successful production planning; Improve community adoption
Industry & Context.
Troubleshooting; Debugging; Performance tuning; Anomaly detection
30% travel
What They're Looking For.
Must Have
5+ years experience data engineering, 5+ years experience data observability, Hands-on experience data ingestion, Hands-on experience streaming technologies, Hands-on experience performance tuning, Hands-on experience troubleshooting, Hands-on experience debugging Spark, Experience building data-driven use cases, Experience with SIEM tools, Experience with telemetry log ingestion, Experience with anomaly detection, Track record maintaining production data systems, Track record scaling production data systems, Track record extending production data systems, Deep expertise designing cost-efficient data workloads, Deep expertise designing high-performance data workloads, Deep expertise building large-scale data pipelines, Deep expertise migrating data systems to cloud, Deep expertise developing lakehouse systems, Deep expertise developing warehouse systems, Production programming experience SQL, Production programming experience Python, Production programming experience Scala, Production programming experience Java, Bachelor's degree Computer Science, Bachelor's degree Information Systems, Bachelor's degree Engineering, Equivalent professional experience
Nice to Have
Prior customer-facing experience pre-sales, Prior customer-facing experience post-sales, Familiarity cloud infrastructure providers
What You'll Do.
Guide customers cloud data engineering transformations
Support Solutions Architects
Navigate evaluations production planning
Align technical roadmap Databricks Platform
Provide technical leadership strategic customers
Guide implementations big data projects
Guide implementations large-scale data warehousing
Prove value Databricks Platform
Architect production workloads
Perform pipeline load performance testing
Optimize pipeline load performance
Architect production-level data pipelines
Become technical expert data lake
Become technical expert big data streaming
Become technical expert big data ingestion
Assist Solution Architects technical sale
Develop custom proof of concept content
Estimate workload sizing
Develop custom architectures
Provide tutorials training
Improve community adoption
Contribute Databricks Community
How You'll Work.
Team & Collaboration
Collaborate Solutions Architects; Customer-facing role
Communication Scope
Customer-facing; Technical presentations; Tutorials; Training
Full Job Description
FEQ327R257 As a Specialist Solutions Architect (SSA) - Data Engineering & Observability, you will guide customers through cloud data engineering transformations across a wide variety of use cases. In this customer-facing role, you will collaborate with and support Solutions Architects. This requires hands-on production experience with large-scale data engineering technologies and lakehouse architecture. The SSA teams help customers navigate evaluations and successful production planning for their business intelligence workloads while aligning their technical roadmap with the Databricks Data Intelligence Platform. As a deep go-to expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, continuous learning, and internal training programs. In this role, you will establish yourself as a leader in the data engineering and warehousing specialty. The impact you will have: Provide technical leadership to guide strategic customers to successful implementations on big data projects and large-scale data warehousing workloads. Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization. Architect production-level data pipelines, including end-to-end pipeline load performance testing and optimization. Become a technical expert in an area such as data lake technology, big data streaming, or big data ingestion and workflows. Assist Solution Architects with more advanced aspects of the technical sale, including custom proof of concept content, estimating workload sizing, and custom architectures. Provide tutorials and training to improve community adoption (including hackathons and conference presentations). Contribute to the Databricks Community. What we look for: 5+ years of experience in a technical role with deep expertise across data engineering and data observability: Sof
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