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Specialist Solutions Architect - Data Engineering

Databricks - United States

Posted Jun 2, 2026

Benefits

Parental leave
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Non-birth-parent leave
Not verified not verified - source URL not recorded; timestamp not recorded
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
$180K-$248K From the posting source checked Jun 20, 2026
401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

83% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Staff Plus From the posting source checked Jun 20, 2026

Schedule

Shift type
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Weekend work
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Company

Equity
Offered From the posting source checked Jun 20, 2026

Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Specialist Solutions Architect - Data Engineering United States FEQ327R257 As a Specialist Solutions Architect (SSA) - Data Engineering , 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

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